Probative Growth MCP

Every public dataset on this server: what it covers, its version, DOI, license (CC BY 4.0), credit line, last-checked date, the page to cite, its files and its tools.

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  "type": "object",
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  "title": "List the datasets",
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How to cite a dataset, a state or one record: the citation sentence, credit line, DOI and URL to cite. CC BY 4.0 asks for credit and a link.

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      "maxLength": 120,
      "description": "Other datasets: the record id"
    },
    "state": {
      "type": "string",
      "maxLength": 40,
      "description": "rules only: two-letter code, or DC"
    },
    "topic": {
      "type": "string",
      "maxLength": 40,
      "description": "rules only: topic key, e.g. filing"
    },
    "dataset": {
      "type": "string",
      "default": "rules",
      "description": "A dataset id, e.g. rules, ad-costs, attorneys, aviation-accidents, bankruptcy. list_datasets lists every id."
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        "detailed"
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  "title": "How to cite",
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Figures for one state, county or other key from one open dataset, e.g. limitation periods, lawyers per resident, bankruptcy filings, law firms, court backlogs. Results are not legal advice.

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      "type": "string",
      "maxLength": 40,
      "minLength": 1,
      "description": "The key, e.g. TX, google-ads, 19100, MDL-2738"
    },
    "dataset": {
      "enum": [
        "ad-costs",
        "attorneys",
        "aviation-accidents",
        "bankruptcy",
        "bar-pipeline",
        "benchmarks",
        "boating-accidents",
        "business-applications",
        "ca-courts",
        "certified-specialists",
        "charge-deadlines",
        "civil-filings",
        "consumer-complaints",
        "consumer-sentinel",
        "county-income",
        "court-fees",
        "crime-data",
        "criminal-filings",
        "crosswalks",
        "demand-per-law-office",
        "deserts",
        "device-events",
        "disability-hearings",
        "drug-events",
        "eeoc-charges",
        "eviction-laws",
        "evictions",
        "fair-housing",
        "fatal-crashes",
        "federal-filings-county",
        "fees",
        "filing",
        "findings",
        "firm-web-census",
        "flood-claims",
        "green-cards",
        "hospital-safety",
        "idb-civil",
        "immigration-courts",
        "irs-databook",
        "language",
        "law-firm-economy",
        "law-firm-websites",
        "law-offices",
        "lawyer-wages",
        "legal-aid-orgs",
        "legal-need",
        "legal-prices",
        "legal-profession-figures",
        "limitations",
        "marriage-divorce",
        "mdl",
        "mine-accidents",
        "mortgage-delinquency",
        "mortgage-lending",
        "noncitizen-population",
        "nursing-homes",
        "ny-attorneys",
        "ny-workers-comp",
        "opinions",
        "osha-enforcement",
        "platforms",
        "population-change",
        "practice-official",
        "product-recalls",
        "rail-casualties",
        "referral",
        "robocall-complaints",
        "search-demand",
        "serp-landscape",
        "state-civil-rights",
        "state-courts",
        "state-wage-claims",
        "toxic-releases",
        "truck-crashes",
        "tx-nonsubscribers",
        "unemployment",
        "union-membership",
        "uscis-offices",
        "va-compensation",
        "va-spending",
        "vehicle-complaints",
        "veterans-representation",
        "wage-enforcement",
        "warn-layoffs",
        "wc-benefits",
        "work-injuries"
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      "type": "string"
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{
  "title": "Look up one key in a dataset",
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Find records by words across the open datasets when you do not know the key, e.g. "nursing home abuse" or "legal services price index". Results are not legal advice.

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      "minLength": 2
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      "description": "Dataset ids, e.g. ad-costs, attorneys, aviation-accidents, bankruptcy, bar-pipeline. list_datasets lists every id."
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  "title": "Search the datasets",
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Anonymized law-firm marketing benchmarks (ad costs, call outcomes, speed to sign), as bands, tiers and rounded values with the methods page to cite.

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      "description": "Optional words to keep only matching rows, e.g. \"hour\" or…"
    },
    "table": {
      "enum": [
        "speed-to-sign",
        "calls-and-hours",
        "organic-ai",
        "search-click-costs",
        "search-query-patterns",
        "ad-call-outcomes",
        "lsa-lead-mix",
        "quarterly-demand",
        "cost-per-signed-client"
      ],
      "type": "string"
    },
    "v5_table": {
      "enum": [
        "other-google-ad-types",
        "injury-search-clicks-and-season",
        "injury-google-ads-spend-mix",
        "lsa-lead-timing-and-charges",
        "lsa-call-lengths"
      ],
      "type": "string"
    },
    "public_table": {
      "enum": [
        "serp-landscape",
        "law-firm-websites",
        "demand-per-law-office",
        "legal-profession-figures"
      ],
      "type": "string"
    },
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        "detailed"
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      "type": "string",
      "default": "concise"
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  "type": "object",
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  "title": "Law-firm marketing benchmarks",
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Every lawyer advertising rule for one US state or DC in one call: filing, disclaimers, waiting periods, claims, referrals, language, recording, texting, privacy. Results are not legal advice.

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      "description": "Two-letter code (TX), or DC. Full names (Texas) also work."
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  "type": "object",
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  "title": "Lawyer advertising rules for one state",
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Federal multidistrict litigation (MDL) dockets from the Judicial Panel on Multidistrict Litigation's monthly pending-dockets reports, largest first. Results are not legal advice.

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      "description": "Words in the docket title or court, e.g. \"hernia mesh\""
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    "docket": {
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      "description": "One docket, e.g. MDL-2738 or 2738; returns its monthly history"
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  "title": "Federal MDL dockets by actions pending",
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What changed lately in any of the datasets (or only the `datasets` named), newest first, with the date and source of each. Optional `since` (YYYY-MM-DD).

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    "state": {
      "type": "string",
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    "datasets": {
      "type": "array",
      "items": {
        "type": "string"
      },
      "description": "Dataset ids, e.g. rules, ad-costs, attorneys, aviation-accidents, bankruptcy. list_datasets lists every id."
    },
    "practice": {
      "type": "string",
      "maxLength": 80
    },
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        "detailed"
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  "title": "What changed",
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Id search for deep-research clients: returns ids, titles and URLs to read with fetch; the named tools answer one question directly.

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      "minLength": 2,
      "description": "For example \"Texas ad filing\" or \"pay per lead ethics opinion\""
    }
  },
  "additionalProperties": false
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  "type": "object",
  "required": [
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{
  "title": "Search the legal-marketing records",
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  "openWorldHint": false,
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One state's lawyer advertising rule on one topic, e.g. can a firm text leads, record intake calls, pay referral fees, what disclaimer every ad must include. Results are not legal advice.

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        "texting",
        "privacy"
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      "type": "string"
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  "type": "object",
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  "title": "One lawyer advertising rule in one state",
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Which of one state's lawyer ad rules an ad touches, from what it contains (testimonials, past results, expert claims, actors, Spanish, AI) or its text. Results are not legal advice.

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          "dramatization",
          "spanish",
          "spokesperson",
          "ai",
          "comparative",
          "referral"
        ],
        "type": "string"
      },
      "maxItems": 10,
      "description": "What the ad contains. Leave out to rely on ad_text only."
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        "detailed"
      ],
      "type": "string",
      "default": "concise"
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  "type": "object",
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  "title": "Which state ad rules an ad touches",
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Bar ethics opinions (ABA and state) on lawyer marketing, e.g. pay-per-lead, Google reviews, AI chatbots, referral fees, social media. Results are not legal advice.

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    },
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      "type": "string",
      "maxLength": 40,
      "minLength": 2,
      "description": "Two-letter code, DC, or ABA for the American Bar Association"
    },
    "topic": {
      "type": "string",
      "description": "One of 27 values, e.g. advertising-general, fee-sharing, trade-names"
    },
    "cursor": {
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      "description": "The nextCursor from the previous page; leave out for the first…"
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    "in_force_only": {
      "type": "boolean",
      "default": false,
      "description": "Leave out opinions marked withdrawn or superseded"
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      "type": "string",
      "default": "concise"
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  "type": "object",
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Spanish speakers with limited English per Spanish-speaking lawyer in one US state, DC, the US or a metro area (Census ACS). Results are not legal advice.

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  "title": "Spanish-language legal demand and lawyer supply in one area",
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The most a lawyer may charge, in dollars, on one award, settlement or past-due benefit under a legal fee cap.

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      "description": "Optional: the stage, e.g. \"administrative\" or \"litigation\"…"
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    "program": {
      "enum": [
        "workers-comp",
        "med-mal",
        "contingency-general",
        "ssdi-ssi",
        "ftca",
        "va",
        "longshore",
        "other"
      ],
      "type": "string"
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    "award_usd": {
      "type": "number",
      "maximum": 10000000000,
      "minimum": 0,
      "description": "The award, settlement or past-due benefits in US dollars (the…"
    },
    "jurisdiction": {
      "type": "string",
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      "minLength": 2,
      "description": "Two-letter state code, DC, or US for federal programs (Social…"
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      "type": "string",
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  "type": "object",
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  "title": "Calculate the legal limit on an attorney fee",
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Which states do what: one ad-rule topic (e.g. the waiting period before contacting accident victims, texting, filing) side by side across states, or all 50 and DC. Results are not legal advice.

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      "type": "string"
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      "type": "array",
      "items": {
        "type": "string"
      },
      "maxItems": 51,
      "minItems": 1,
      "description": "Two-letter codes. Leave out for every jurisdiction."
    },
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      "enum": [
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  "type": "object",
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  "title": "Compare one rule across states",
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Whether a state's bar requires lawyers to file or submit ads for review, which ads, when. Results are not legal advice.

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  "additionalProperties": false
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  "type": "object",
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  "title": "Bar ad filing requirements and fees for one state",
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Recent confirmed changes to state lawyer advertising rules only, newest first, with the date, state, rules touched and primary source of each.

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  "type": "object",
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  "title": "Confirmed changes to the rules",
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What Google Ads, Local Services Ads, Microsoft, Meta, LinkedIn, YouTube and ChatGPT ads allow for law-firm ads: eligibility, verification, targeting, creative. Results are not legal advice.

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        "creative",
        "targeting",
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        "billing",
        "keywords",
        "verification",
        "destination",
        "appeals",
        "ai-labelling"
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      "type": "string"
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    "limit": {
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      "maximum": 25,
      "minimum": 1,
      "description": "Records per page (1 to 25)"
    },
    "query": {
      "type": "string",
      "maxLength": 200,
      "minLength": 2,
      "description": "Words to match, e.g. \"bail bonds\" or \"verification\""
    },
    "cursor": {
      "type": "string",
      "maxLength": 40,
      "description": "The nextCursor from the previous page; leave out for the first…"
    },
    "platform": {
      "enum": [
        "chatgpt-ads",
        "google-ads",
        "google-lsa",
        "linkedin-ads",
        "meta",
        "microsoft-ads",
        "youtube"
      ],
      "type": "string"
    },
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      "type": "string",
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  "type": "object",
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{
  "title": "Ad-platform policies for law-firm ads",
  "readOnlyHint": true,
  "openWorldHint": false,
  "idempotentHint": true,
  "destructiveHint": false
}

Keyword search across all rule text, for a word or claim such as "expert" or "guaranteed results". Results are not legal advice.

{
  "type": "object",
  "required": [
    "query"
  ],
  "properties": {
    "limit": {
      "type": "integer",
      "default": 5,
      "maximum": 25,
      "minimum": 1
    },
    "query": {
      "type": "string",
      "maxLength": 300,
      "minLength": 2,
      "description": "For example \"Florida filing fee\" or \"expert\""
    },
    "response_format": {
      "enum": [
        "concise",
        "detailed"
      ],
      "type": "string",
      "default": "concise"
    }
  },
  "additionalProperties": false
}

{
  "type": "object",
  "required": [
    "meta",
    "provenance"
  ]
}

{
  "title": "Search the lawyer advertising rules",
  "readOnlyHint": true,
  "openWorldHint": false,
  "idempotentHint": true,
  "destructiveHint": false
}

The fee-cap rules (percent and dollar limits on attorney fees) for one state or federal program: workers' comp, med-mal, contingency, SSDI, FTCA, VA. Results are not legal advice.

{
  "type": "object",
  "required": [
    "jurisdiction"
  ],
  "properties": {
    "program": {
      "enum": [
        "workers-comp",
        "med-mal",
        "contingency-general",
        "ssdi-ssi",
        "ftca",
        "va",
        "longshore",
        "other"
      ],
      "type": "string"
    },
    "jurisdiction": {
      "type": "string",
      "maxLength": 40,
      "minLength": 2,
      "description": "Two-letter state code, DC, or US for federal programs; full…"
    },
    "response_format": {
      "enum": [
        "concise",
        "detailed"
      ],
      "type": "string",
      "default": "concise"
    }
  },
  "additionalProperties": false
}

{
  "type": "object",
  "required": [
    "meta",
    "provenance"
  ]
}

{
  "title": "Legal limits on attorney fees in one jurisdiction",
  "readOnlyHint": true,
  "openWorldHint": false,
  "idempotentHint": true,
  "destructiveHint": false
}

California only: cases filed in one county's superior court (or CA for the whole state) in fiscal year 2024-25, by case type, with the prior year. Results are not legal advice.

{
  "type": "object",
  "required": [
    "county"
  ],
  "properties": {
    "group": {
      "enum": [
        "civil",
        "criminal",
        "family",
        "juvenile",
        "probate",
        "appeals"
      ],
      "type": "string"
    },
    "county": {
      "type": "string",
      "maxLength": 40,
      "minLength": 2,
      "description": "County name (\"Los Angeles\", \"san-diego\") or CA for the…"
    },
    "response_format": {
      "enum": [
        "concise",
        "detailed"
      ],
      "type": "string",
      "default": "concise"
    }
  },
  "additionalProperties": false
}

{
  "type": "object",
  "required": [
    "meta",
    "provenance"
  ]
}

{
  "title": "California court filings in one county",
  "readOnlyHint": true,
  "openWorldHint": false,
  "idempotentHint": true,
  "destructiveHint": false
}

Compare up to 10 states, counties or other keys of one dataset side by side, e.g. lawyer pay or bar pass rates in two states. Results are not legal advice.

{
  "type": "object",
  "required": [
    "dataset",
    "keys"
  ],
  "properties": {
    "keys": {
      "type": "array",
      "items": {
        "type": "string",
        "maxLength": 40,
        "minLength": 1
      },
      "maxItems": 10,
      "minItems": 1
    },
    "dataset": {
      "type": "string",
      "description": "A dataset id, e.g. ad-costs, attorneys, aviation-accidents, bankruptcy, bar-pipeline. list_datasets lists every id."
    },
    "response_format": {
      "enum": [
        "concise",
        "detailed"
      ],
      "type": "string",
      "default": "concise"
    }
  },
  "additionalProperties": false
}

{
  "type": "object",
  "required": [
    "meta",
    "provenance"
  ]
}

{
  "title": "Compare keys in a dataset",
  "readOnlyHint": true,
  "openWorldHint": false,
  "idempotentHint": true,
  "destructiveHint": false
}

The full text of one record found with search (ids like rules:TX:filing, opinions:ny-nysba-1306 or benchmarks:speed-to-sign). Not legal advice.

{
  "type": "object",
  "required": [
    "id"
  ],
  "properties": {
    "id": {
      "type": "string",
      "maxLength": 160,
      "minLength": 3,
      "description": "An id from search"
    }
  },
  "additionalProperties": false
}

{
  "type": "object",
  "required": [
    "id",
    "title",
    "text",
    "url",
    "metadata"
  ]
}

{
  "title": "Fetch one legal-marketing record",
  "readOnlyHint": true,
  "openWorldHint": false,
  "idempotentHint": true,
  "destructiveHint": false
}

Every public number about marketing a law firm in one state or DC, joined from seven open datasets. Results are not legal advice.

{
  "type": "object",
  "required": [
    "state"
  ],
  "properties": {
    "state": {
      "type": "string",
      "maxLength": 40,
      "minLength": 2,
      "description": "Two-letter code (TX) or DC; full names (Texas) also work"
    },
    "response_format": {
      "enum": [
        "concise",
        "detailed"
      ],
      "type": "string",
      "default": "concise"
    }
  },
  "additionalProperties": false
}

{
  "type": "object",
  "required": [
    "meta",
    "provenance"
  ]
}

{
  "title": "Law-firm market brief for one state",
  "readOnlyHint": true,
  "openWorldHint": false,
  "idempotentHint": true,
  "destructiveHint": false
}

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Loads one state's lawyer advertising rules, with sources, and asks the assistant to point out which rules an ad touches. It summarizes rules; it does not approve the ad. Not legal advice.

state

Two-letter code (TX), or DC (required)

ad_text

The ad copy, script or landing-page text (optional; never stored)

channel

Where it runs: search, social, TV, radio, billboard, letter, text message, website (optional)

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Loads one state's bar ad filing record (who files, when, fees, portal, retention, rule cited) and asks for a step-by-step checklist with each step's source. Not legal advice.

state

Two-letter code (FL), or DC (required)

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Loads the confirmed changes across the datasets since a date and asks for a short digest grouped by state and topic, each item with its date and source. Not legal advice.

since

Only changes on or after this day (YYYY-MM-DD); optional, default 90 days ago

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Loads one MDL docket's actions pending, its monthly history and its court from the JPML reports, and asks for a short planning brief on its size and trend. Counts are court actions, not people. Not legal advice.

mdl

Docket number, e.g. MDL-2738 or 2738 (required)

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Loads Census estimates of Spanish speakers with limited English and of Spanish-speaking lawyers for one state, metro or the US, and asks for a short brief with margins of error. Not legal advice.

area

A state code (TX), DC, US, a metro code (26420) or a metro name (Houston) (required)

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Loads every public market number for one state from seven datasets (law offices, legal deserts, Spanish-speaking demand, ad filing, referral-fee rules, the injury limitation period, new lawyers) and asks for a short planning brief with each figure sourced. Not a forecast. Not legal advice.

state

Two-letter code (TX), or DC (required)

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The main server and each dataset server (/mcp/<id>) with its one-line description and tool names

probative://servers

MIME type: application/json

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Full tool descriptions, input schemas and output schemas (tools/list shows them short)

probative://tools

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Datasets, versions, DOIs, credit lines and endpoints

https://probativegrowth.com/data/v1/index.json

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The lawyer advertising rules of every US state and DC, in plain English: ad filing, what each ad must include, waiting periods for injury contact, claims and testimonials, referral and lead rules, ads in other languages, call-recording consent, texting law and privacy law, plus state laws on drug and medical-device ads. Each cell cites its official source with the words quoted, and says how it was checked (P, D or U).

https://probativegrowth.com/data/v1/rules/index.json

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https://probativegrowth.com/data/v1/rules/changes.json

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All cells in one file

https://probativegrowth.com/data/v1/rules/rules.json

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Interactive view for get_state_rules: one state’s lawyer advertising rules with status, checked date and source links.

ui://legal-marketing-data/state-rules-card.html

MIME type: text/html;profile=mcp-app

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What advertisers bid to show at the top of Google for lawyer searches, practice by practice. For 86 query families (English and Spanish) in the whole US, all 50 states and DC, the file gives the top-of-page bid band of each family's English and Spanish head query (Google Keyword Planner's low and high top-of-page bid estimates: the range advertisers have historically bid to show above the results), the competition level and index, plus the family's median low and high bids across its queries. Figures come from Google Ads Keyword Planner (October 2025 to September 2026) and are shown as bands with that period; for the US and 27 states, a DataForSEO pull of the same Google Ads data agrees on every bid band it shares. For the US, families are grouped into demand tiers by searches a month with the median high bid of each tier. Our own anonymized benchmark of what law-firm clicks actually cost is linked as a separate measure and never mixed into these figures.

https://probativegrowth.com/data/v1/ad-costs/index.json

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https://probativegrowth.com/data/v1/ad-costs/changes.json

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How many lawyers each bar counts in each county, for seven states. Ohio: attorneys by county of address and status, from the Supreme Court of Ohio's attorney directory list (88 counties, with admission decade, private practice and Spanish speakers). California: active, inactive, judge and not-eligible licensees in each of the 58 counties, from the State Bar's county table. Michigan: active State Bar members living in each of the 83 counties, with private practice and the change from 2024. Idaho: members by status in each of the seven judicial districts. Arizona: active State Bar members in each of the 15 counties (the Bar's 2022 report). Washington: WSBA licensees of every type (lawyers plus limited licensees) in each of the 39 counties, with the attorney counts by member type. Pennsylvania: active attorneys in the seven counties the Disciplinary Board's annual report lists, and the Board's statewide status counts. Each record carries the source's own as-of date and a rate per 10,000 residents from the Census Bureau's county estimate. Only counts are published, and where a count is built from a directory file no name, birthdate, address or registration number is kept or written. In Ohio, counts of one to four in a disciplinary, deceased or other status, an admission decade, private practice or Spanish are withheld, and where a withheld count could be worked out from a county's total or the statewide figures, another count in the same group is withheld too. Every state record ties to its source's own total, and every published number is read a second time from the source file before release.

https://probativegrowth.com/data/v1/attorneys/index.json

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https://probativegrowth.com/data/v1/attorneys/changes.json

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Civil aviation accidents in the United States investigated by the National Transportation Safety Board, for the nation and for each state, DC, Puerto Rico and Guam in each year from 2008 to September 2026: accidents, fatal accidents, deaths, serious and minor injuries, and the accidents and deaths by type of operation of the first aircraft (general aviation, airlines, commuter and on-demand, agricultural, other). NTSB incidents, accidents abroad, narratives and probable causes are not included. Accidents offshore or with no state are counted in the national record only.

https://probativegrowth.com/data/v1/aviation-accidents/index.json

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https://probativegrowth.com/data/v1/aviation-accidents/changes.json

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Bankruptcy cases commenced in the 12 months ending on each quarter-end, from the U.S. Courts' Tables F-5A (by county and chapter), F-2 (by court district, chapter and business or nonbusiness debt) and F (cases filed, terminated and pending). One record per area: the United States, every state, DC and territory, 93 court districts and about 3,100 counties. Each gives the latest period's cases by Chapter 7, 11, 13 and other chapters, the business and nonbusiness split, the change on the year before, filings per 1,000 residents (Census 2025 population estimates) and the court's figures for the six earlier periods. Every table is checked against the court's own totals row. Counts of cases, not outcomes: a filing is not a discharge.

https://probativegrowth.com/data/v1/bankruptcy/index.json

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https://probativegrowth.com/data/v1/bankruptcy/changes.json

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For every US jurisdiction that reports to the National Conference of Bar Examiners (the 50 states, DC, Guam, the Northern Mariana Islands, Palau, Puerto Rico and the Virgin Islands): the overall 2025 bar exam pass rate, how many new lawyers were admitted in 2025 (by examination, by transferred UBE score and on motion), how admissions by exam or transferred score changed since 2021, and how much of the total came from transferred scores and from motion. NCBE reserves its published tables, so this dataset republishes none of them: every figure is one we derive from them (a rate, a sum, a change, a share), credited to NCBE with a link to the table it comes from. Each jurisdiction's rows add up to NCBE's own totals row before anything is published.

https://probativegrowth.com/data/v1/bar-pipeline/index.json

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https://probativegrowth.com/data/v1/bar-pipeline/changes.json

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Probative benchmarks, 2025–2026: aggregated, rounded, and small groups suppressed. Our data on law-firm marketing, shown as bands, named tiers and rounded values, one table per file. The public tables cover how quickly inquiries become signed clients, phone calls and signed clients, AI answers and organic search clicks, search-ad click costs, what people type, calls from ads, Local Services Ads leads, inquiries by quarter and ad cost per signed client. Each row gives the measure, the band or tier, its unit and a rough size band. Every value is aggregated across many observations; values resting on too few observations, or resting mostly on a few, are suppressed for privacy. Values are approximate, so read the band, not a point. The methods page defines every measure and the protection steps. Five injury-case tables were added in version 5.0.0 (each row states its version): Google Ads cost per click-traced lead and signed client, the non-brand click cost and the fourth-quarter dip, the Google Ads budget split, and Local Services Ads lead timing, charges and call lengths.

https://probativegrowth.com/data/v1/benchmarks/index.json

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https://probativegrowth.com/data/v1/benchmarks/changes.json

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Recreational boating incidents reported to the U.S. Coast Guard, for the nation and for each state, DC and territory in each year from 2019 to 2024: incidents, fatal incidents, incidents with a non-fatal injury, property-damage-only incidents, deaths, people injured and property damage in dollars. The Coast Guard called these accidents until its 2024 report and now calls them incidents. Incidents offshore (Atlantic, Pacific, Gulf) are in the national record only. Each year comes from that year's Coast Guard report.

https://probativegrowth.com/data/v1/boating-accidents/index.json

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https://probativegrowth.com/data/v1/boating-accidents/changes.json

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Business applications (requests for a new Employer Identification Number) in every U.S. county from 2005 to 2025, with each county's latest count, the change over a year and since 2019, and the sums for each state and the nation, from the Census Bureau's Business Formation Statistics annual county file. The Census Bureau applied differentially private noise to the June 2026 release, so every record is flagged noise; county sums are checked against the Bureau's own monthly state series.

https://probativegrowth.com/data/v1/business-applications/index.json

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https://probativegrowth.com/data/v1/business-applications/changes.json

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How many cases were filed in each of California's 58 superior courts (one per county) and statewide, by case type, from the Judicial Council of California's Court Statistics Reports: unlimited civil (motor-vehicle injury, other injury and wrongful death, other civil), limited civil, unlawful detainer, small claims, felonies and misdemeanors, family law, juvenile, probate, mental health and appeals. One record per county and case type, with the prior year beside it. In every table the 58 counties add up exactly to the report's own statewide row, and the totals inside each row add up too. Counts only: no lawyer or firm is listed or ranked.

https://probativegrowth.com/data/v1/ca-courts/index.json

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https://probativegrowth.com/data/v1/ca-courts/changes.json

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How many lawyers hold a board certification in each practice area, state by state, counted from the official lists of certified specialists that Tennessee's Commission on Continuing Legal Education and Minnesota's Board of Legal Certification publish. Each row is a state, a practice area and a certifying body, with the number of certified specialists. Minnesota's rows run by year; Tennessee's are the roll as read on the date shown. Counts only: no names or personal details.

https://probativegrowth.com/data/v1/certified-specialists/index.json

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https://probativegrowth.com/data/v1/certified-specialists/changes.json

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How long a worker has to file a charge of employment discrimination: the EEOC's 180-day limit and its 300-day extension, and the limit each covered state's own statute sets for its civil-rights agency. One row per rule, with the statute citation, the official document's URL and the verbatim quote (25 words or fewer) that carries the number.

https://probativegrowth.com/data/v1/charge-deadlines/index.json

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https://probativegrowth.com/data/v1/charge-deadlines/changes.json

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How many civil cases were filed in each of the 94 U.S. district courts and nationwide, by nature of suit, from the Administrative Office of the U.S. Courts' Statistical Tables for the Federal Judiciary: Table C-3 (the 94 districts by case type: contract, real property, torts, civil rights, prisoner petitions, labor, Social Security, intellectual property and more, U.S. cases and private cases) and Table C-2 (the nation by about 100 natures of suit, such as product liability, medical malpractice, employment, the Fair Labor Standards Act, ERISA and consumer credit, with the basis of jurisdiction). One record per district and case type for the latest 12 months, with the year before and the history of every earlier table, and one record per nature of suit nationwide. In every table the 94 districts add up exactly to the national Total row, every circuit adds up to its districts and every nature-of-suit group adds up to the rows under it. Counts only: no lawyer or firm is listed or ranked.

https://probativegrowth.com/data/v1/civil-filings/index.json

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https://probativegrowth.com/data/v1/civil-filings/changes.json

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Complaints that consumers filed with the Consumer Financial Protection Bureau (CFPB) about debt collection, credit reporting and credit repair, and debt or credit management, counted by state, month, product and issue from January 2018, with the last 12 months set against the 12 before and per 100,000 residents. One record per state, DC, Puerto Rico and territory for each of the three product groups, with the share of complaints the company answered on time and the issue people raised most. The counts come from the CFPB's own Consumer Complaint Database search API, as aggregates, so no complaint, narrative, company name or ZIP code is ever copied; for every month the issue counts add up to the bureau's own count for each product group. The bureau changed its credit-reporting product name twice; every name is combined into one group. Complaints are consumers' own reports, not findings of any violation.

https://probativegrowth.com/data/v1/consumer-complaints/index.json

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https://probativegrowth.com/data/v1/consumer-complaints/changes.json

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Reports that consumers made to the U.S. Federal Trade Commission's Consumer Sentinel Network in 2024, by state, DC and Puerto Rico, from the FTC's Consumer Sentinel Network Data Book 2024. Four records per jurisdiction: fraud and other reports and identity theft reports (each with the count, the rate per 100,000 people and the FTC's rank among the 50 states), imposter-scam reports (the share of the state's reports that the FTC prints, with a count and a rate derived from it, flagged as rounded) and fraud reports with the share reporting a loss, the total dollars reported lost and the median loss. Four national records give the whole country. A report is what a consumer or partner told the FTC, not a finding; the state tables leave out reports from state-specific data contributors and reports with no state.

https://probativegrowth.com/data/v1/consumer-sentinel/index.json

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https://probativegrowth.com/data/v1/consumer-sentinel/changes.json

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Individual income tax returns, individuals, adjusted gross income, salaries and wages in every U.S. county for the latest tax year, with the change in income per return from the year before, and the returns and income that moved into and out of each county and state between two filing years, from the IRS Statistics of Income county and migration files. The IRS rounds county returns to the nearest 10 and withholds a migration flow under 20 returns; withheld cells are left empty and marked suppressed, never estimated.

https://probativegrowth.com/data/v1/county-income/index.json

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https://probativegrowth.com/data/v1/county-income/changes.json

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The most money a claim can seek in each state's small-claims court, or in the court that hears small claims where the state names it differently (magistrate, justice or city court). One row per state with the figure, the court, the statute or court page it comes from, and the verbatim sentence.

https://probativegrowth.com/data/v1/court-fees/index.json

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https://probativegrowth.com/data/v1/court-fees/changes.json

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What police agencies reported to the FBI over the last five complete calendar years, for every state and for 2,981 counties, home to 96.5% of U.S. residents: violent crimes, property crimes, arrests for driving under the influence, all arrests, and, for states, arrests for drug abuse violations. County rows add up the agencies the FBI places in each county (a city police department, a sheriff's office, a campus force; an agency that serves several counties counts in the county of its headquarters); a row says how many agencies there are and what share of the county's residents they cover, because a month an agency did not report is counted as not reported, never as zero, and a year in which no agency of the county reported is not published. Rates are per 100,000 residents of the agencies that did report. State rows are the FBI's own state series; the county rows add up the agency-level answers, which can come to less than the state series where the FBI's state count includes reports its agency-level answers do not return. The United States row is the sum of the states. Only counts are published: no officer, victim, suspect or agency name.

https://probativegrowth.com/data/v1/crime-data/index.json

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https://probativegrowth.com/data/v1/crime-data/changes.json

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Criminal defendants whose cases were opened in the 94 federal district courts, counted from the Statistical Tables for the Federal Judiciary that the Administrative Office of the U.S. Courts publishes for each 12-month period ending June 30 and December 31. Each record gives one district, one state with more than one district, or the whole country, for one period: the defendants commenced (transfers between districts left out), split by offense into nineteen columns and ten offense groups, with drug, immigration (illegal reentry shown on its own), firearms, fraud, sex offenses and traffic picked out, the felony, Class A misdemeanor and petty-offense split from Table D-1, and the same period a year earlier. National records add Table D-2's detail of about a hundred offenses, from bank robbery and health-care fraud to drunk driving on federal land. Every period's districts add up to the national total printed by the Courts, and every district ties to Table D-1.

https://probativegrowth.com/data/v1/criminal-filings/index.json

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https://probativegrowth.com/data/v1/criminal-filings/changes.json

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The shared keys that join every Probative dataset. One record per practice area (our taxonomy of consumer and business practice areas, each linked to the FOLIO Area of Law class it matches, the federal nature-of-suit codes of its cases, the site's practice pages and the datasets that measure its demand, supply, rules and money), per federal nature-of-suit code, per state and territory (FIPS and postal codes, Census region and division, federal circuit and districts), per federal judicial district (our district key, the Federal Judicial Center code and the court's CM/ECF id), per county and county equivalent in the 50 states, DC and the territories (Puerto Rico's municipios and the county equivalents of Guam, the U.S. Virgin Islands, the Northern Mariana Islands, American Samoa and Midway: FIPS code, the federal district and statutory division it belongs to, its metro or micro area and its Census population), per former county code older sources still use (with the current counties that took its area), and per documented source code that names a place under another key (EEOC's WQ for Wake Island) or is not a place at all (military mail, the freely associated states, the VA's unplaced addresses, U.S. Courts' outside-the-U.S. code). Every county's district is read from the statute and checked against the counties U.S. Courts lists under each district in its bankruptcy Table F-5A.

https://probativegrowth.com/data/v1/crosswalks/index.json

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Where there is the most legal demand for each law office. Five public datasets joined by state: private law-office establishments (2026 Q1, 177,138 in the 51 states) against residents, bankruptcy cases commenced (12 months ending 2026-09-30), fatal crashes (2024), divorces in the last 12 months and Spanish speakers with limited English (ACS 2020-2024), and eviction filings for the 23 states with recent eviction data. Each state is placed in the highest, middle or lowest third on every ratio and overall.

https://probativegrowth.com/data/v1/demand-per-law-office/index.json

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Which counties have few or no law offices for their residents, under two definitions shown side by side. Offices: private law-office establishments per 10,000 residents (BLS QCEW, latest quarter, 2025 population), flagged when under 1 or when there is none. Lawyers: where a state's own bar or court publishes a county count (California, New York, Mississippi, Illinois), lawyers per 1,000 residents, flagged when under 1, the threshold the American Bar Association used in 2020. Each county also shows the Census count of solo legal-services firms with no employees, and whether it is in a metropolitan area, a smaller city area or neither. State and national rows count the counties. Bar figures are county-by-status totals only; no lawyer is named.

https://probativegrowth.com/data/v1/deserts/index.json

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Adverse event reports the FDA received about medical devices, counted by device product code and calendar quarter from 2025 Q1: reports, deaths, injuries, malfunctions and other, for the 300 product codes with the most reports and for all devices together. Counted with the openFDA device event API (licence CC0); no report row, narrative, patient or manufacturer is ever read, only counts. Reports are filed up to weeks after an event and are driven by litigation and recalls as well as by harm, so a count is not an incidence rate.

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How long Social Security disability claimants wait for a hearing before an administrative law judge, office by office, from the Social Security Administration's own public data files: the average months from the hearing request to the hearing for cases closed in the month, and each hearing office's fiscal-year-to-date receipts, dispositions, cases pending and average days from request to decision, with SSA's rank among 159 offices. Each record is one hearing office, with the state it sits in. Counts and averages only: no judge, claimant, lawyer or firm is named.

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Adverse event reports about drugs that reached the FDA Adverse Event Reporting System (FAERS) and are served by openFDA, received 2024Q3 to 2026Q2: 2,649,395 reports in all, 1,430,033 serious and 197,378 with a death outcome. One record per active ingredient for the 312 ingredients with the most reports plus every ingredient named in an open multidistrict litigation (31 of them tagged with their MDL numbers): reports that list the ingredient, how many were serious, how many reported a death outcome, the same counts for each of the last eight quarters, and the five most reported reactions. National, one shard. A report names a drug and an event; it does not show that the drug caused the event, and FAERS holds duplicates, follow-ups and reports from outside the United States.

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Charges of workplace discrimination received by the U.S. Equal Employment Opportunity Commission (EEOC), by state, DC, Puerto Rico and territory, fiscal year and basis (race, sex, national origin, religion, color, retaliation, age, disability, equal pay, genetic information and pregnancy under the Pregnant Workers Fairness Act), from the EEOC's Tables E1b and E1a. One record per jurisdiction and basis for the latest fiscal year, each with its count, its share of the state's charges, the rate per 100,000 private-sector workers (BLS Quarterly Census of Employment and Wages, from fiscal year 2014) and the whole FY 2009 to FY 2025 history. Counts the EEOC suppressed are left empty and flagged, never filled in. A charge can name more than one basis, so bases add up to more than the total, and charges filed only with a state or local fair-employment agency are not counted.

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How the law of each U.S. state, the District of Columbia and five territories regulates residential evictions as of January 1, 2021, coded from the statutes by the Legal Services Corporation and Temple University's Center for Public Health Law Research: the notice a landlord must give before filing for nonpayment, whether a tenant may cure, whether a landlord needs a stated cause, caps on late fees, the filing fee the law sets, the days to answer, to appeal and between writ and removal, mediation, and the statute cited for the notice rule. One record per jurisdiction plus a national summary.

https://probativegrowth.com/data/v1/eviction-laws/index.json

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Eviction filings (cases) by county and month from the Legal Services Corporation's Civil Court Data Initiative Eviction Tracker, which collects residential eviction filings from state and local courts: 1,464 counties and 34 states and territories, January 2016 through September 2025. Each record carries the filings of every full calendar year the county reports, the last twelve months where all twelve are present, filings per 100 renter households, the poverty rate and the latest month against the county's own historical average. Counties carry the Census FIPS code. LSC's data are released under CC0 1.0. The states and territories in the file are the ones LSC reports; the US record totals a year or month only where every one of them reports it.

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Fair Housing Act (Title VIII) cases filed with the U.S. Department of Housing and Urban Development, January 2006 through June 2020: 130,661 cases counted for the nation, for each state and territory by calendar year, and for each county with at least one case, with the cases that cite each basis (race, color, national origin, disability, familial status, religion, sex, retaliation). HUD's list is one row per filed case; only counts are kept. A case can cite several bases, so the bases add up to more than the cases.

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Fatal motor-vehicle crashes in every US county, state and the nation for 2019 to 2024, from the National Highway Traffic Safety Administration's Fatality Analysis Reporting System (FARS). One record per county, state and the US: fatal crashes and deaths in the newest year, the crashes that involved a large truck, a motorcycle, a pedestrian or a bicyclist, the pedestrians, bicyclists and motorcyclists killed, alcohol-impaired, speeding and work-zone crashes, rural and urban roads, deaths per 100,000 residents, and every earlier year. Every county-year equals the accident table's own rows, and the counties add up to the state and the state to the nation. 2019 to 2023 are NHTSA's final files; 2024 is its first (annual report) release. The county-by-year table is at /research/fatal-crashes-by-county/data.csv. Counts only.

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How many federal civil lawsuits are filed in each U.S. county, and of what kind, over the last ten complete federal fiscal years, from the Federal Judicial Center's Integrated Database (IDB). A case is counted in the county where the first-listed plaintiff lives (the first-listed defendant's county when the United States sues; the tract's county in land condemnation cases), by 16 nature-of-suit groups plus multidistrict litigations (MDLs), and rolled up to Probative's practice areas. One record per county carries all ten years, the prior-year change and the year-by-year history. Cases that cannot be placed in a county are published as rows of their own, per state and nationally: plaintiffs who live in the U.S. outside the court's state (with the MDL share), plaintiffs who live abroad, cases under a retired county code, and cases with an unrecorded county; district records add the same parts for each of the 94 district courts. Every state equals the sum of its counties and these rows, and the national total ties to the U.S. Courts' Table C-2 within a fraction of a percent. Only counts are published: no party, docket number or judge.

https://probativegrowth.com/data/v1/federal-filings-county/index.json

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Legal limits on what a lawyer may charge, by program and jurisdiction: workers' compensation in every US state and DC, Social Security (SSDI and SSI), the Federal Tort Claims Act, VA benefits, Longshore, FECA and black lung, plus medical-malpractice and general contingency-fee rules in the states read so far. Each record gives the cap type, percent, dollar cap or sliding-scale tiers, what the percent applies to and who approves the fee, and cites the statute, rule or agency page with an exact quote and the date read (P, D or U; no secondary sources). A lookup, not a fee calculator.

https://probativegrowth.com/data/v1/fees/index.json

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What each US state bar asks of a lawyer who advertises: whether ads or solicitations must be filed or reviewed, when, the standard, late and advisory fees, the portal or method, whether an expedited review exists, and how long copies must be kept, and, where a bar states it, how many ads it reviews in a year. Every recorded field is backed by a short quote from the bar's or court's own rule or page, with the date read.

https://probativegrowth.com/data/v1/filing/index.json

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Headline counts about the US legal market, each computed from one or more of Probative's open datasets and published as a quarterly edition: counties with no law office, Spanish speakers against Spanish-speaking lawyers, ad-rule waiting periods and filing duties, truck-crash deaths, workplace charges, the immigration court backlog, veterans' representation, deadlines to sue, legal-services prices, who earns the fees, mass-tort dockets, disability hearing waits, bankruptcy filings, nursing-home fines and unpaid wages. Every record gives the number, its denominator, one plain sentence in English and Spanish, what the number does not show, and the source dataset's version, DOI and record, so each figure can be traced and recomputed.

https://probativegrowth.com/data/v1/findings/index.json

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US law firms, state by state and county by county, from two kinds of open source: law firms' own public websites, read politely each week (robots.txt obeyed, a few pages per firm), and official state registries published as open data for reuse (New York's attorney registrations and business entities, and the business registries of Colorado, Oregon, Connecticut, Texas and Pennsylvania). For each state, county and practice area we count the firms found, how many have a website we read, and, of those websites, the shares that show Spanish-language pages, a 24/7 intake statement, a free consultation or no fee unless they win, a chat or online booking tool, legal structured data (schema.org LegalService or Attorney), review markup or an llms.txt file, with the median number of pages a firm has about the practice. Every row gives two coverage measures: the firms found against the employer law offices the Census Bureau's County Business Patterns counts, and the websites read against our estimate of the law firms with a website. A state is called a census only when the first reaches 0.70; until then the rows are a sample. These counts are CC BY 4.0. The firm-level rows behind them (name as the firm or registry gives it, offices by county and the yes-or-no facts, each linked to the page it was read on with the date) are published separately under the Open Database License (ODbL) 1.0, because the list of sites comes partly from OpenStreetMap (© OpenStreetMap contributors), and are shown on the /firms/ pages. No firm is rated, scored or ranked, and no individual lawyer's data is published. Website sources: Common Crawl (its web graph and the Web Data Commons structured-data extract), OpenStreetMap and Wikidata.

https://probativegrowth.com/data/v1/firm-web-census/index.json

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Every National Flood Insurance Program claim in FEMA's public NFIP claims file, counted for the nation, each state and territory and each county by the year of the loss: claims, claims with a payment and dollars paid (building, contents and increased cost of compliance), over all years since 1978, the ten full years 2016 to 2025, the latest full year and the current, partial year, with the flood event that brought the most claims since 2016 in each state. Counts and sums only; no policy, address or claimant detail is kept.

https://probativegrowth.com/data/v1/flood-claims/index.json

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New lawful permanent residents (green card holders) in the 200 U.S. counties with the most, for the two latest fiscal years: admissions by class (immediate relatives, family preference, employment preference, diversity, refugee and asylee adjustments, other) and the ten countries of birth with the most, with state sums set against the Yearbook of Immigration Statistics state totals. Read from the Department of Homeland Security's county workbooks, in which every cell is rounded to the nearest 10; sums are of rounded cells and understate the true figures, and the share of each state's total they cover is given.

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How Medicare's Care Compare rates hospitals on patient safety, for each state, DC and territory and for each county with at least three hospitals: how many hospitals are rated worse, the same or better than the national benchmark on the PSI 90 patient-safety and adverse-events composite (claims July 2022 to June 2024), and on the six healthcare-associated infection ratios (October 2024 to September 2025), with each state's own infection ratios and confidence limits as CMS prints them. Counties with fewer than three hospitals are combined. Hospital names are not kept. A figure CMS does not print is left out.

https://probativegrowth.com/data/v1/hospital-safety/index.json

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Federal civil cases from the Federal Judicial Center's Integrated Database (IDB), counted by district, nature-of-suit group and fiscal year: cases filed, the share alleging a class action, the share with a pro se plaintiff, cases terminated, the median days from filing to disposition, the trial share, the median days to trial, and how terminated cases ended (settled, voluntarily dismissed, dismissed, default or consent, motion, trial, other, moved out). One record per district and group for the latest three fiscal years, each with its yearly series, plus a national record per nature-of-suit code. Only aggregates are published: no case-level row, party, docket number or judge. Filings re-add to the U.S. Courts' own totals within half a percent.

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The size and movement of the U.S. immigration court backlog, from the Executive Office for Immigration Review (EOIR). National series from EOIR's workload and adjudication statistics: pending cases, new cases, completions, the share of completed cases with a representative on record, asylum decisions and the share of grants among grants and denials, asylum applications pending and pending cases of unaccompanied children, by fiscal year. Pending proceedings by immigration court, by the respondent's state of address and by nationality, counted from EOIR's monthly FOIA case-data file, with the share that has a representative of record. Counts only: no case row, name or address is published, and every cell under 11 is suppressed. Every national table is re-added against its own totals row; the case-data counts are shown beside the published totals and never spliced into them.

https://probativegrowth.com/data/v1/immigration-courts/index.json

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Returns and other forms filed, gross tax collections and refunds issued, from the Internal Revenue Service Data Book state tables, for the nation, each state, DC and Puerto Rico and each fiscal year (October to September) from 2019 to 2025: returns by form type (individual, employment, C corporation, S corporation, partnership), collections by type of tax (individual income and employment, withheld, business income, estate, gift, excise) and the number and amount of refunds. Dollar amounts are in dollars; IRS prints them in thousands. The national record also holds what IRS counts in the nation but assigns to no state.

https://probativegrowth.com/data/v1/irs-databook/index.json

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How many people who speak Spanish at home, and how many who speak English less than very well, there are for each lawyer who speaks Spanish at home: for the US, every state and DC, and every metro area. Computed from the Census Bureau's American Community Survey (2020 to 2024 five-year tables and microdata), each figure with its 90% margin of error and a reliability flag; estimates too unreliable to publish are withheld. Aggregates only: no lawyer or firm is listed or ranked.

https://probativegrowth.com/data/v1/language/index.json

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How big U.S. law firms are and what they take in, for the US, every state and DC, from three Census Bureau sources. Employer law firms (NAICS 541110, offices of lawyers) by number of employees (fewer than 5, 5 to 9, 10 to 19, 20 to 99, 100 to 499, 500 or more) with their employees, payroll and receipts, from the Statistics of U.S. Businesses (SUSB) 2022. Businesses with no employees (mostly sole practitioners) and their receipts, by legal form, from Nonemployer Statistics 2024, which publishes legal services (NAICS 5411) as one group. Firm counts, receipts, the share of receipts held by the largest firms and firms by receipts size from the Economic Census 2022. One record per jurisdiction and class. Every size-class row adds up to its total row; classes the Census Bureau does not publish are left empty and flagged, never estimated.

https://probativegrowth.com/data/v1/law-firm-economy/index.json

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What US law-firm websites offer, from 123,823 law-firm websites read (out of 1,101,164 websites visited, 2026-10-28 to 2026-10-30): the share that show Spanish-language pages, an online booking tool, live chat, LegalService or Attorney structured data, review markup, HTTPS and a 24/7 intake statement, for every state with at least 100 websites and every practice area with at least 100, plus the number of websites with Spanish pages for each 100,000 Spanish-speaking residents with limited English. No firm is named.

https://probativegrowth.com/data/v1/law-firm-websites/index.json

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Private offices of lawyers (NAICS 541110) in every U.S. county, every state and the nation. For each area: establishments, March employment and average weekly pay from the Bureau of Labor Statistics' Quarterly Census of Employment and Wages (the latest quarter, with the seven before it); employer offices from the Census Bureau's County Business Patterns 2023 exactly as first published; firms with no employees in legal services from Nonemployer Statistics 2024; and the 2025 Census population estimate, so each area has offices and solo firms per 10,000 residents. Where BLS suppresses a county's employment or pay the value is empty and flagged, never filled in. An office is an establishment, not a lawyer.

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How many lawyers, paralegals and legal assistants work in the US, in each state and DC, and in the larger metro areas, and what they are paid: the mean annual wage, the median and the 10th, 25th, 75th and 90th percentile wages, from the Bureau of Labor Statistics' Occupational Employment and Wage Statistics (OEWS) survey, May 2025. Every figure carries its BLS series id; figures BLS does not release are marked suppressed and never filled in. OEWS counts employees only: it leaves out owners, partners and the self-employed, so it is not what a firm's owners earn.

https://probativegrowth.com/data/v1/lawyer-wages/index.json

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How many legal-aid, public-interest-law and civil-rights nonprofits have an address in each county, state and the nation, from the IRS Exempt Organizations Business Master File. Counts by type (legal services, public interest law, civil rights) and by annual revenue band, with a rate per 100,000 residents. Counts only: no names.

https://probativegrowth.com/data/v1/legal-aid-orgs/index.json

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The people in every U.S. county who may need a lawyer, counted from the Census Bureau's American Community Survey 2020 to 2024 5-year estimates: residents aged 65 and over (and 75 and over and 85 and over), people aged 65 or over living alone and those below the poverty level, residents who are not U.S. citizens, foreign-born residents who arrived since 2010, residents who speak English less than very well (and Spanish speakers among them), divorced residents (and, for states, people divorced in the last year), veterans and veterans with a VA disability rating, residents with a disability, households on SSI, renter households and renters paying 30 or 50 percent of income on rent, residents without health insurance, workers who drive to work and median household income. One record per county (3,144, in the 50 states and DC), per state and for the US, each measure with its 90% margin of error and its share of the population it is counted in.

https://probativegrowth.com/data/v1/legal-need/index.json

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Month by month since 2017, what consumers pay for legal services (Consumer Price Index), what law offices receive for their work (Producer Price Index for offices of lawyers, overall and by type of work where BLS publishes it), and how many people work in legal services (Current Employment Statistics), each next to the all-items or services index where that helps. Every value is read from the Bureau of Labor Statistics' own database with its series id, base period, and a preliminary flag while BLS may still revise it. The consumer index measures a basket item, not a law firm's billing rate. Counts and index values only.

https://probativegrowth.com/data/v1/legal-prices/index.json

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7 public figures a law firm uses to size its market: lawyer and paralegal jobs and pay from the U.S. Bureau of Labor Statistics, and how much of low-income Americans' civil legal need goes without help from the Legal Services Corporation. Each row carries the series code or verbatim sentence from the issuing agency's own source and the date it was read.

https://probativegrowth.com/data/v1/legal-profession-figures/index.json

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The filing deadline the statute sets for five kinds of civil claims in every US state and DC: personal injury, medical malpractice, wrongful death, product liability and property damage. Each record gives the period in the statute's own words, the citation, a link to the state's official code site, a verbatim quote, and the date read; where the same text says so, it adds whether the period runs from discovery and any outer limit (statute of repose). Some cells come from a court opinion that quotes or applies the statute; they are marked S (secondary) and name the court, case and date. No calculator and no deadline arithmetic: tolling and exceptions apply.

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Divorce rates (divorces and annulments per 1,000 residents, by state of occurrence) and marriage rates for every state that reports them to the CDC's National Center for Health Statistics, for 1990, 1995 and each year 2000 to 2024, with each reporting state's latest rate, its 2019 rate and its rate in 2000 (or its first reported year after 2000) and the change since; and the national provisional counts of divorces and marriages each year since 2000, with the states the national divorce count leaves out. Rates and counts only, as NCHS publishes them.

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Pending actions in every federal multidistrict litigation (MDL), from the Judicial Panel on Multidistrict Litigation's monthly 'Pending MDL Dockets by Actions Pending' reports. One record per docket: the court's docket title, the transferee district, the docket type, actions now pending, actions ever filed, the change over 12 months, the peak pending count, and the docket's monthly pending count since 2019. Version 1.1 adds the 14 MDLs the court closed between 2026-01-01 and 2026-10-01 (dateClosed set, the peak and last count from the monthly series) and the court's reports by district and by docket type, with monthly groupings of the series. Every report's rows add up exactly to the court's own totals row. The full monthly series, judge included, is at /data/v1/mdl/history/index.json (one CSV per year); the district, type and closed-MDL files are at /data/v1/mdl/reports/index.json. Counts and dates only.

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Accident, injury and illness reports that U.S. mine operators and contractors file with the Mine Safety and Health Administration, counted for the nation and for each state and calendar year from 2000 to October 2026, and for each county over the last ten full years (2016 to 2025), by degree of injury: deaths, permanent disabilities, lost-time injuries, restricted-activity injuries, injuries with no lost time and all other reports. State and national records also split reports and deaths between coal and metal/nonmetal mines. Counts only: no narratives, names of operators, occupations or ages are kept.

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The share of mortgages 90 or more days delinquent and 30 to 89 days delinquent, from the Consumer Financial Protection Bureau's Mortgage Performance Trends, for the nation, every state and DC and each county the CFPB publishes (counties with at least 1,000 mortgages in its sample): the latest month, the same month a year earlier, the change in percentage points, the highest and lowest 90-day share since January 2008 and each year's December values. Percents only, as the CFPB publishes them.

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How many home-purchase, refinance and cash-out refinance applications lenders reported under the Home Mortgage Disclosure Act in each county, state and the nation, how many became loans (with the dollar amount) and how many were denied, with the denial rate. State and US rows add the year before.

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How many residents of each state, DC and county are not U.S. citizens, with the margin of error and the share of the population, from the Census Bureau's American Community Survey 5-year estimates (2020-2024), table B05001 (nativity and citizenship status). Each record also splits the citizens into born in the US, born in a U.S. territory, born abroad of American parents and naturalized. These are survey estimates of residents, not of legal status: the table does not separate lawful permanent residents, visa holders or anyone else.

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For every US county with a Medicare- or Medicaid-certified nursing home, every state and territory, and the US: how many certified nursing homes and beds there are, how many times the Centers for Medicare & Medicaid Services (CMS) fined them in the last three years and for how many dollars, how often and for how many days it denied payment, and how many health citations inspectors wrote at the actual-harm level or worse (scope and severity G to L), at the immediate-jeopardy level (J to L) and under the abuse, neglect and exploitation tags (F600 to F610), plus the share of rated homes with one star overall. Built each month from the four CMS Provider Data Catalog files behind Care Compare. Counts only: no facility names, addresses or certification numbers, and no resident data (CMS publishes none).

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How many lawyers are on New York's official attorney registration list, county by county. For each of the 62 counties the file counts the attorneys whose office address is there by registration status (currently registered, inside the 30-day reregistration window, delinquent, resigned, deceased, disbarred or suspended, incapacitated), by decade of admission to the New York bar, and per 10,000 residents using the Census Bureau's county population estimate. Further records count registrations with an office in each other state or territory, registrations with no office address in the public file, and the four judicial departments of admission, and the state record carries the admission-year history. Only counts are published: no name, address, phone number, firm or registration number is read, because the pull asks the court's open data portal for server-side totals and never downloads rows. Counts of one to four in a disciplinary status or an admission decade are withheld. Every record adds up to the state, the state ties to the source's own row count, and the American Bar Association's 2025 count of New York resident active lawyers sits between the two bounds the file allows.

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Workers' compensation claims assembled by the New York State Workers' Compensation Board in every New York county, for each accident year from 2000: the number of claims, how many have an attorney or representative (count and share), how many are controverted, how many have had a hearing and how many hearings were held, and how many are classified permanent partial or permanent total disability or occupational disease. Built only from SoQL aggregates of the Board's 5.7-million-claim file on NY Open Data (no claim-level row is read), with every count of 1 to 10 claims suppressed.

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An index of US state and ABA ethics opinions, committee guidelines and court rulings on lawyer advertising and marketing, from 2004 to 2026 (most from 2015 on, plus earlier landmarks): lead generators, pay-per-lead, reviews, testimonials, trade names, websites, social media, chatbots and AI tools, competitor keywords and more. Version 1.1 adds an AI sub-index: 14 AI opinions coded on six marketing questions (chatbot disclosure, AI-made ads, intake and solicitation, superiority claims, confidentiality in marketing tools, and fees). Each record gives the issuing body, number, date, topics, a one-sentence holding in our words, a practical step, whether it is still in force, the official link, an exact short quote and the date read. It is not the opinions' full text.

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How many workplace safety inspections OSHA opened in each state and industry, how many ended in citations, how many violations were found (serious, willful, repeat) and the current penalties, from the Department of Labor's OSHA enforcement files (federal and state-plan), by fiscal year: the latest year and the ten-year window, for the US, every state and territory with inspections, and each state's NAICS sectors. Only counts and dollar totals: no employer, address or inspection number is in the dataset.

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The ad-platform policies that affect US law-firm advertising on Google Ads, Google Local Services, YouTube, Microsoft Ads, Meta, LinkedIn and ChatGPT ads: what each rule says in plain English, what a firm should do about it, which practice areas it touches, when it took effect, and a dated log of changes. Each record quotes the platform's own policy or help page and gives the date it was read.

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The Census Bureau's population estimates for every U.S. county, every state and DC and the nation: deaths, births, international migration and domestic migration in the year to July 1, 2025 and summed over the five years since July 1, 2020, with the Bureau's own rates per 1,000 residents; residents on July 1, 2025 and on the April 1, 2020 estimates base; and residents aged 65 and over, 75 and over and 85 and over, with their share of all residents and the growth of the 65-and-over population since 2020. Counts only, from the Bureau's public Vintage 2025 files.

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Every official figure quoted on our bankruptcy, employment-law, immigration and personal-injury pages for ten states, one sentence per record, with the federal source it comes from (U.S. Courts, EEOC, the immigration courts and NHTSA's fatal-crash file) and the page it appears on.

https://probativegrowth.com/data/v1/practice-official/index.json

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Recalls announced by the U.S. Consumer Product Safety Commission (CPSC) since 2010, counted for the whole period, for each recall year and for each of ten hazard classes (fire and burn, falls and tip-overs, laceration, choking and suffocation, ingestion, entrapment and pinch injuries, electric shock, poisoning and chemicals, crashes and collisions, drowning, plus a class for the rest). Each count comes with the number of recalls whose notice reports an injury and the number that report a death, parsed from the notice's own incident text, and with the units the notices give. A recall that names several hazards counts once in each class and once in the totals. The counts come from CPSC's recall API; no firm names, contacts or narratives are kept.

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Railroad casualties, highway-rail grade crossing incidents and train accidents that railroads reported to the Federal Railroad Administration (FRA), 2021 through July 2026, for 2,315 counties with at least one report, 50 states and the US: 41,307 casualties (5,136 deaths and 36,171 nonfatal injuries or illnesses) from Form 55a, split by who was hurt (railroad employee on duty or off duty, contractor or volunteer, passenger, trespasser, other non-trespasser), 12,345 crossing incidents with the people killed and injured (Form 57) and 14,018 rail equipment accidents (Form 54), with the casualty count of each incident year. FRA's county codes are Census FIPS codes; counties retired since keep their old code. Counts come from FRA's rolling six-year views on data.transportation.gov and are aggregated server-side; no narrative or person-level field is read.

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When lawyers in different firms may split a fee, and what a lawyer may pay for a referral, in the US states and DC it covers. Each record gives the state's fee-division rule (ABA Model Rule 1.5(e) or its equivalent: the proportion or joint-responsibility test, how the client must agree, whether each share is disclosed, any cap) and its rule on paying for recommendations (Model Rule 7.2(b) or its equivalent: referral-service charges, reciprocal referral agreements, nominal gifts), each quoted from the official rules text with the date read.

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Complaints about unwanted calls, robocalls and telemarketing that people filed with the Federal Communications Commission (FCC), counted by state, month, issue and method (text message, prerecorded voice, live voice and others) from January 2015, with the last 12 months set against the 12 before and per 100,000 residents. One record per state, DC, Puerto Rico and territory for text-message complaints and one for phone-call complaints. The counts come from the FCC's open Consumer Complaints Data, grouped on the FCC's server so no complaint, caller number or free text is ever copied, and the state rows add up to a separate FCC-side count for every month. Complaints are self-reported and unverified, not findings of any violation.

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How many people search Google for a lawyer each month, practice by practice: 86 query families (personal injury and its niches such as truck accidents, mesothelioma and birth injury; immigration subtypes; bankruptcy chapters; estate planning; intellectual property; employment subtypes and more), each asked in the plain English and Spanish words people type. For the whole US, all 50 states and DC, the file gives the searches a month in English and in Spanish (12-month average), the head query of each language and the month-by-month series, from Google Ads Keyword Planner (October 2025 to September 2026). Google reports close variants with one combined figure, so a family total counts each distinct monthly series once, and every query's own figure is listed. A second measured source, a DataForSEO pull of the same Google Ads data for the US and 27 states, is kept as a cross-check: a record per place counts the queries on which the two agree. Free Google sources add, for the head queries with enough data, Google Trends interest by state over the last 12 months (a relative index, never mixed with counts) and the Google Autocomplete suggestions for the head queries whose suggestions pass the filter (only suggestions in which every word is a common word, so no firm, brand, person or place is named). Where our firm census holds 100 or more firm websites for a practice in a state, a ratio gives the searches a month per firm website, with both inputs.

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What a person sees when they search Google for a lawyer or legal help in the United States: how often lawyer directories (FindLaw, Justia, Avvo, Super Lawyers and others), videos and the People Also Ask box appear, how many of the top-10 results are directories, and how concentrated the results are in a few websites, by practice area, search type (cost, near me, best, versus, how-to) and language (English, Spanish). Built from 2,240 legal searches (22,089 top-10 results) saved from Google on 2026-10-29 and 30; every group has at least 30 searches and no firm or person is named.

https://probativegrowth.com/data/v1/serp-landscape/index.json

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Complaint and charge counts that state civil-rights agencies print in their own annual reports or publish as open data, one row per figure with the document's URL and a verbatim quote: California Civil Rights Department (2024 intake forms and immediate right-to-sue requests), Illinois Department of Human Rights (charges received and employment charges in fiscal year 2024, charges docketed in 2025) and the Pennsylvania Human Relations Commission (allegations in employment complaints, fiscal years 2021-22 to 2024-25 and the part of 2025-26 so far). Each quote is re-checked against the document, and each Pennsylvania figure against the portal's own aggregate. States that block the fetcher or publish no count are not included.

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How many cases are filed in state trial courts, by county, court level and case group, from each state court system's own published statistics. Texas (Office of Court Administration): district, constitutional county and statutory county courts, fiscal years 2023–24 and 2024–25, with district-court filings by case type. Washington (Administrative Office of the Courts): superior courts and district and municipal courts (criminal, civil, domestic, probate, juvenile, traffic, DUI, protection orders, small claims), calendar year 2025. Maryland (Judiciary data dashboard): circuit-court filings by case type and District Court filings (landlord-tenant, civil, criminal, DUI, traffic citations, peace orders), fiscal years 2012 to 2025. Indiana (Office of Judicial Administration): circuit and superior court new filings by Rule 8 case type (felony, misdemeanor, tort, collection, small claims, eviction, foreclosure, domestic relations, estates, juvenile), calendar year 2025 (provisional) beside 2024. Wisconsin (Director of State Courts Office): circuit-court cases opened by category, felony to juvenile, 2020 to 2025. Virginia (Office of the Executive Secretary): circuit, general district and juvenile and domestic relations district courts by locality (county or independent city), calendar year 2025. Pennsylvania (Administrative Office of Pennsylvania Courts): courts of common pleas in all 67 counties, civil cases by type (motor-vehicle and other torts, mass torts, malpractice, contract and debt, landlord-tenant, foreclosure) and criminal, protection from abuse, support, custody, divorce, juvenile, adoption and guardianship cases, calendar year 2024. Oregon (Oregon Judicial Department): circuit courts in all 36 counties, calendar year 2025. West Virginia (Supreme Court of Appeals): circuit, family and magistrate courts in all 55 counties, calendar year 2025. Nebraska (Judicial Branch): county and district courts in all 93 counties and the separate juvenile courts of three of them, fiscal year 2024–25. Maine (Judicial Branch): superior courts, unified criminal dockets and district courts in all 16 counties, fiscal years 2021–22 to 2025–26. California (Judicial Council): superior courts in all 58 counties (motor-vehicle and other injury, limited civil, eviction, small claims, felony, misdemeanor, traffic, marital, parentage, domestic violence, child support, juvenile delinquency and dependency, guardianship, other probate, mental health), fiscal year 2024–25. Louisiana (Supreme Court of Louisiana, Judicial Administrator's Office): district courts in 61 of the state's 64 parishes (civil, criminal, traffic and juvenile cases), calendar year 2025 beside 2024 where the 2024 report's row matches. Hawaii (Hawaii State Judiciary): circuit courts in all four circuits, each mapped to its county (motor-vehicle and other injury, contract, foreclosure, probate proceedings, circuit criminal cases), fiscal year 2024–25. Every record keeps the state's own category names and the numbers added into each group (components), and carries a harmonized group and the practice areas it bears on, so a county's filings can be read as demand for personal injury, family, landlord-tenant, small claims and debt, probate, criminal and DUI, juvenile and traffic work. In every source the counties add up to the state's own printed total where it prints one (Texas, Washington, Indiana, Wisconsin, Virginia, Pennsylvania, Oregon, West Virginia, Nebraska, Hawaii), Louisiana's parish records are the parishes whose rows add up to the printed district totals and its state row is the state's printed total, and the state rows for Maryland are the sum of the counties because the file prints no statewide row. Every record carries its FIPS code (the state's on a state row, the county's on a county row) so it joins Census and other county data. Counts only: no lawyer or firm is listed or ranked.

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Wage-claim counts that state labor agencies print in their own reports, one row per figure with the document's URL and a verbatim quote: the California Labor Commissioner's Office (wage claims filed in 2021, from its Labor Code section 96.1 report) and the Washington Department of Labor & Industries (wage complaints in state fiscal years 2024 and 2025, from its Workplace Rights Investigations reports). Each quote is re-checked against the document at each refresh. States whose pages block the fetcher or publish no count are not included.

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Toxic chemicals that industrial and federal facilities reported releasing on site to the Environmental Protection Agency's Toxics Release Inventory (TRI) in reporting year 2024, for 2,437 counties with a reporting facility, 56 states and territories and the US: 21,482 facilities and 2,842,308,160 pounds in all (530,322,130 to air, 188,664,266 to water, 2,123,321,764 to land), with the pounds of known or suspected carcinogens, PFAS, ethylene oxide, benzene and lead, and the on-site total of each of the earlier years kept (2020, 2021, 2022, 2023). State records list the three largest parent companies. Counties carry the Census FIPS code. Dioxin-like compounds, which facilities report in grams, are converted to pounds. TRI counts reported releases by listed chemicals from covered facilities; it is not a measure of exposure or of harm.

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Crashes involving a commercial truck or bus that states reported to the Federal Motor Carrier Safety Administration (FMCSA), counted from its Motor Carrier Management Information System (MCMIS) crash file for every county, state and territory and the US over the last ten complete calendar years. Each record gives, for the latest year, the crashes, the fatal crashes, the crashes with injuries, the crashes where a vehicle was towed away, the crashes involving a bus, the deaths and the injuries, with the whole ten-year history and the ten-year totals. A crash is one state crash report, counted once however many trucks and buses it involved, and its deaths and injuries are counted once. State records add the number of active carriers based in the state, from the FMCSA Company Census File. Counties with no reported crash are listed with zeros, and reports without a usable county code are kept in a 'county not given' row for their state, so counties always add up to the state.

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Texas does not require most private employers to carry workers' compensation insurance. Employers that opt out file a notice of no coverage (DWC Form-005) with the state each year. This dataset counts those filings from October 2024 to September 2026: for the state, and for each county with at least five non-subscribing employers, the employers with a location in the county, their locations and the filings by year. Counties with fewer than five are combined. Employers are businesses: no company names or addresses are kept. A ZIP code is placed in the county that holds most of its land.

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The unemployment rate, number unemployed, employed and labor force for every county and state, from the Bureau of Labor Statistics' Local Area Unemployment Statistics (LAUS) program: the annual average for each year 2015 to 2025 and the latest 13 months. Each county and state record carries the latest annual average, the change from the year before and since 2015, and the latest month (preliminary until BLS revises it). County figures are model-based estimates that BLS controls to its state totals; the build checks that county employment, unemployment and labor force add up to the state's. Retired Alaska census-area codes with no current estimate are left out, and Connecticut appears as BLS publishes it.

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Employed wage and salary workers, union members and workers represented by unions (members plus workers covered by a union contract) in every state, DC and the nation, from the Bureau of Labor Statistics' annual Union Members release (Current Population Survey): numbers in thousands as BLS prints them, each as a percent of employed workers, for the latest year and the year before, with the change in the members' percent. The 2025 annual figures average the 11 months BLS published (January to September, November and December).

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Applications to U.S. Citizenship and Immigration Services for naturalization (Form N-400, general and military) and for a green card by adjustment of status (Form I-485, family, employment, humanitarian and other), received, approved, denied and pending at every USCIS field office and service centre, for each fiscal quarter USCIS has published, with the nationwide totals. Read cell for cell from the agency's quarterly performance workbooks and tied to its service-wide quarterly totals. USCIS prints D where disclosure standards are not met; those cells are left empty and marked suppressed, never estimated.

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https://probativegrowth.com/data/v1/uscis-offices/changes.json

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Veterans receiving VA disability compensation in every U.S. county on September 30, 2025 (fiscal year 2025), from the Department of Veterans Affairs county file on data.va.gov: the total and the count in each combined service-connected rating band (0 to 20%, 30 to 40%, 50 to 60%, 70 to 90% and 100%), by age group (17 to 44, 45 to 64, 65 and over) and by sex, with the same county's total and 100% count a year earlier. One record per county (3,144, in the 50 states and DC), per state and DC (the sum of its counties), for Puerto Rico, for the other territories, for veterans paid abroad, for unknown addresses and for the US. Cells VA suppressed to protect privacy are left empty and marked suppressed, never estimated.

https://probativegrowth.com/data/v1/va-compensation/index.json

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https://probativegrowth.com/data/v1/va-compensation/changes.json

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Dollars the Department of Veterans Affairs paid in direct benefits in fiscal year 2025 in every U.S. county, from the Geographic Distribution of VA Expenditures (GDX) workbook of VA's National Center for Veterans Analysis and Statistics: disability compensation and veterans pension, dependency and indemnity compensation (DIC) and survivors pension, insurance, and specially adapted housing, with the total recomputed as the sum of the four (the workbook's Total column is a formula), and the compensation, pension and survivor dollars of the year before for the change. One record per county or county equivalent (3,223), per state, DC, Puerto Rico and Guam, for foreign countries, the Freely Associated States, other U.S. territories and unknown addresses, and for the US (187,660,338,257 dollars in all). Counties carry the Census FIPS code; Connecticut's counties are the planning regions.

https://probativegrowth.com/data/v1/va-spending/index.json

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https://probativegrowth.com/data/v1/va-spending/changes.json

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Safety complaints about cars, trucks, SUVs, motorcycles and RVs that owners filed with the National Highway Traffic Safety Administration (NHTSA), counted from its Office of Defects Investigation complaint file for the ten most recent model years, by the complainant's state, the make, the model year and the part of the vehicle named (engine, brakes, air bags, steering and the other NHTSA component groups). Each record gives the complaints, how many report a crash, a fire, an injury or a death, the people reported injured and killed, the complaints filed in the last twelve months, and how many concern a make, model and year that has a safety recall (and a recall of the same system), joined from NHTSA's recall file. State records list every make; make records add the model year by component table and each model's counts; national make records add each model by model year and the number of recall campaigns. A complaint is counted once however many parts it names. Only counts are kept: no narrative, VIN, city, name or complaint number.

https://probativegrowth.com/data/v1/vehicle-complaints/index.json

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https://probativegrowth.com/data/v1/vehicle-complaints/changes.json

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How many attorneys and claims agents the U.S. Department of Veterans Affairs has accredited to help with benefit claims, counted by the state (and, in the county file, the county) of each person's business address, against the VA's own projection of living veterans (VetPop2023, rounded to the nearest 1,000). One record per state, DC, Puerto Rico and territory, one for the United States and one for people whose list entry shows no US state, each with attorneys, claims agents, veterans per accredited attorney, accredited attorneys and agents per 100,000 veterans, the number accredited in the last 12 months and how many counties have none. Records for the Board of Veterans' Appeals add its decisions in fiscal year 2024 by outcome and by type of representative. The VA's lists name every person; only counts are read, and no name, phone number, registration number or ZIP code is published.

https://probativegrowth.com/data/v1/veterans-representation/index.json

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https://probativegrowth.com/data/v1/veterans-representation/changes.json

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What the U.S. Department of Labor found when it enforced wage and safety laws, counted for every county, state and territory and the US over the last ten complete federal fiscal years. From the Wage and Hour Division (WHD): concluded cases, cases with violations, back wages found owed, employees owed back wages, civil money penalties, Fair Labor Standards Act overtime and minimum wage back wages, and child labor violations. From the Occupational Safety and Health Administration (OSHA), federal and state-plan offices: inspections (and how many followed a complaint, a referral, an accident or a fatality or catastrophe), violations cited (serious, willful, repeat), and penalties. State and US records add one record per law WHD enforces (FLSA, FMLA, Davis-Bacon, the Service Contract Act, H-2A, H-2B, H-1B, MSPA and others) and one per industry sector. Only counts and sums are published: no employer name, address or case number, and back wages are suppressed wherever 1 or 2 employees were owed.

https://probativegrowth.com/data/v1/wage-enforcement/index.json

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https://probativegrowth.com/data/v1/wage-enforcement/changes.json

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How many mass-layoff and plant-closure notices employers filed under the Worker Adjustment and Retraining Notification (WARN) Act, and how many employees they covered, for every county in the states whose workforce agencies publish the notices as files: California (July 2023 on, from the Employment Development Department's reports) and Texas (2019 on, from the Texas Workforce Commission's open-data table). Each county, state and county-not-given record carries the last 12 months, the last complete calendar year, the total since the file starts, and the month-by-month series. Only counts are kept: no employer name, address or contact. Notices are dated by the day the state agency received them. Other states are not included.

https://probativegrowth.com/data/v1/warn-layoffs/index.json

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https://probativegrowth.com/data/v1/warn-layoffs/changes.json

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The most a state pays each week in workers' compensation for total disability, for the injury period the state's own agency names. One row per state with the dollar figure, the period, the agency page or notice it comes from, and the verbatim sentence or table row.

https://probativegrowth.com/data/v1/wc-benefits/index.json

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https://probativegrowth.com/data/v1/wc-benefits/changes.json

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How often workers are hurt on the job in each state and industry, and how many die: the nonfatal injury and illness rate per 100 full-time workers for private-industry sectors and detailed industries in the states BLS publishes (Survey of Occupational Injuries and Illnesses, 2024), and the number and rate of fatal work injuries in every state and DC, with the major cause and the industry rate (Census of Fatal Occupational Injuries, 2024). Every record carries its BLS series or table. Survey estimates carry a relative standard error and a noise flag; figures BLS does not publish are marked suppressed and never filled in. It is statistics about industries and states, never about a named employer.

https://probativegrowth.com/data/v1/work-injuries/index.json

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https://probativegrowth.com/data/v1/work-injuries/changes.json

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id: a dataset id (list_datasets shows them). The card gives the summary, version, DOI, how to cite, the open files and the tools.

probative://dataset/{id}/card

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abbr: two-letter code in lowercase (tx, dc)

https://probativegrowth.com/data/v1/rules/states/{abbr}.json

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topic: filing, requiredContent, waitingPeriod, claims, referral, language, recording, texting, privacy

https://probativegrowth.com/data/v1/rules/topics/{topic}.json

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jurisdiction: uppercase key

https://probativegrowth.com/data/v1/ad-costs/jurisdictions/{jurisdiction}.json

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jurisdiction: uppercase key

https://probativegrowth.com/data/v1/attorneys/jurisdictions/{jurisdiction}.json

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jurisdiction: uppercase key

https://probativegrowth.com/data/v1/aviation-accidents/jurisdictions/{jurisdiction}.json

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area: uppercase key

https://probativegrowth.com/data/v1/bankruptcy/areas/{area}.json

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jurisdiction: uppercase key

https://probativegrowth.com/data/v1/bar-pipeline/jurisdictions/{jurisdiction}.json

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table: uppercase key

https://probativegrowth.com/data/v1/benchmarks/tables/{table}.json

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jurisdiction: uppercase key

https://probativegrowth.com/data/v1/boating-accidents/jurisdictions/{jurisdiction}.json

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jurisdiction: uppercase key

https://probativegrowth.com/data/v1/business-applications/jurisdictions/{jurisdiction}.json

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area: uppercase key

https://probativegrowth.com/data/v1/ca-courts/areas/{area}.json

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jurisdiction: uppercase key

https://probativegrowth.com/data/v1/certified-specialists/jurisdictions/{jurisdiction}.json

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jurisdiction: uppercase key

https://probativegrowth.com/data/v1/charge-deadlines/jurisdictions/{jurisdiction}.json

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district: uppercase key

https://probativegrowth.com/data/v1/civil-filings/districts/{district}.json

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jurisdiction: uppercase key

https://probativegrowth.com/data/v1/consumer-complaints/jurisdictions/{jurisdiction}.json

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jurisdiction: uppercase key

https://probativegrowth.com/data/v1/consumer-sentinel/jurisdictions/{jurisdiction}.json

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jurisdiction: uppercase key

https://probativegrowth.com/data/v1/county-income/jurisdictions/{jurisdiction}.json

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jurisdiction: uppercase key

https://probativegrowth.com/data/v1/court-fees/jurisdictions/{jurisdiction}.json

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jurisdiction: uppercase key

https://probativegrowth.com/data/v1/crime-data/jurisdictions/{jurisdiction}.json

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jurisdiction: uppercase key

https://probativegrowth.com/data/v1/criminal-filings/jurisdictions/{jurisdiction}.json

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jurisdiction: uppercase key

https://probativegrowth.com/data/v1/crosswalks/jurisdictions/{jurisdiction}.json

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group: uppercase key

https://probativegrowth.com/data/v1/demand-per-law-office/groups/{group}.json

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area: uppercase key

https://probativegrowth.com/data/v1/deserts/areas/{area}.json

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quarter: uppercase key

https://probativegrowth.com/data/v1/device-events/quarters/{quarter}.json

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jurisdiction: uppercase key

https://probativegrowth.com/data/v1/disability-hearings/jurisdictions/{jurisdiction}.json

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ingredient: uppercase key

https://probativegrowth.com/data/v1/drug-events/ingredients/{ingredient}.json

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jurisdiction: uppercase key

https://probativegrowth.com/data/v1/eeoc-charges/jurisdictions/{jurisdiction}.json

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jurisdiction: uppercase key

https://probativegrowth.com/data/v1/eviction-laws/jurisdictions/{jurisdiction}.json

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jurisdiction: uppercase key

https://probativegrowth.com/data/v1/evictions/jurisdictions/{jurisdiction}.json

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jurisdiction: uppercase key

https://probativegrowth.com/data/v1/fair-housing/jurisdictions/{jurisdiction}.json

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area: uppercase key

https://probativegrowth.com/data/v1/fatal-crashes/areas/{area}.json

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jurisdiction: uppercase key

https://probativegrowth.com/data/v1/federal-filings-county/jurisdictions/{jurisdiction}.json

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jurisdiction: uppercase key

https://probativegrowth.com/data/v1/fees/jurisdictions/{jurisdiction}.json

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jurisdiction: uppercase key

https://probativegrowth.com/data/v1/filing/jurisdictions/{jurisdiction}.json

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finding: uppercase key

https://probativegrowth.com/data/v1/findings/findings/{finding}.json

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jurisdiction: uppercase key

https://probativegrowth.com/data/v1/firm-web-census/jurisdictions/{jurisdiction}.json

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jurisdiction: uppercase key

https://probativegrowth.com/data/v1/flood-claims/jurisdictions/{jurisdiction}.json

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jurisdiction: uppercase key

https://probativegrowth.com/data/v1/green-cards/jurisdictions/{jurisdiction}.json

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jurisdiction: uppercase key

https://probativegrowth.com/data/v1/hospital-safety/jurisdictions/{jurisdiction}.json

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district: uppercase key

https://probativegrowth.com/data/v1/idb-civil/districts/{district}.json

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jurisdiction: uppercase key

https://probativegrowth.com/data/v1/immigration-courts/jurisdictions/{jurisdiction}.json

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jurisdiction: uppercase key

https://probativegrowth.com/data/v1/irs-databook/jurisdictions/{jurisdiction}.json

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area: uppercase key

https://probativegrowth.com/data/v1/language/areas/{area}.json

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jurisdiction: uppercase key

https://probativegrowth.com/data/v1/law-firm-economy/jurisdictions/{jurisdiction}.json

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group: uppercase key

https://probativegrowth.com/data/v1/law-firm-websites/groups/{group}.json

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area: uppercase key

https://probativegrowth.com/data/v1/law-offices/areas/{area}.json

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area: uppercase key

https://probativegrowth.com/data/v1/lawyer-wages/areas/{area}.json

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jurisdiction: uppercase key

https://probativegrowth.com/data/v1/legal-aid-orgs/jurisdictions/{jurisdiction}.json

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jurisdiction: uppercase key

https://probativegrowth.com/data/v1/legal-need/jurisdictions/{jurisdiction}.json

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series: uppercase key

https://probativegrowth.com/data/v1/legal-prices/seriess/{series}.json

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group: uppercase key

https://probativegrowth.com/data/v1/legal-profession-figures/groups/{group}.json

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jurisdiction: uppercase key

https://probativegrowth.com/data/v1/limitations/jurisdictions/{jurisdiction}.json

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jurisdiction: uppercase key

https://probativegrowth.com/data/v1/marriage-divorce/jurisdictions/{jurisdiction}.json

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mdl: uppercase key

https://probativegrowth.com/data/v1/mdl/mdls/{mdl}.json

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jurisdiction: uppercase key

https://probativegrowth.com/data/v1/mine-accidents/jurisdictions/{jurisdiction}.json

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jurisdiction: uppercase key

https://probativegrowth.com/data/v1/mortgage-delinquency/jurisdictions/{jurisdiction}.json

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jurisdiction: uppercase key

https://probativegrowth.com/data/v1/mortgage-lending/jurisdictions/{jurisdiction}.json

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jurisdiction: uppercase key

https://probativegrowth.com/data/v1/noncitizen-population/jurisdictions/{jurisdiction}.json

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jurisdiction: uppercase key

https://probativegrowth.com/data/v1/nursing-homes/jurisdictions/{jurisdiction}.json

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jurisdiction: uppercase key

https://probativegrowth.com/data/v1/ny-attorneys/jurisdictions/{jurisdiction}.json

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accidentYear: uppercase key

https://probativegrowth.com/data/v1/ny-workers-comp/accidentYears/{accidentYear}.json

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jurisdiction: uppercase key

https://probativegrowth.com/data/v1/opinions/jurisdictions/{jurisdiction}.json

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jurisdiction: uppercase key

https://probativegrowth.com/data/v1/osha-enforcement/jurisdictions/{jurisdiction}.json

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platform: uppercase key

https://probativegrowth.com/data/v1/platforms/platforms/{platform}.json

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jurisdiction: uppercase key

https://probativegrowth.com/data/v1/population-change/jurisdictions/{jurisdiction}.json

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jurisdiction: uppercase key

https://probativegrowth.com/data/v1/practice-official/jurisdictions/{jurisdiction}.json

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level: uppercase key

https://probativegrowth.com/data/v1/product-recalls/levels/{level}.json

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jurisdiction: uppercase key

https://probativegrowth.com/data/v1/rail-casualties/jurisdictions/{jurisdiction}.json

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jurisdiction: uppercase key

https://probativegrowth.com/data/v1/referral/jurisdictions/{jurisdiction}.json

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jurisdiction: uppercase key

https://probativegrowth.com/data/v1/robocall-complaints/jurisdictions/{jurisdiction}.json

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jurisdiction: uppercase key

https://probativegrowth.com/data/v1/search-demand/jurisdictions/{jurisdiction}.json

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group: uppercase key

https://probativegrowth.com/data/v1/serp-landscape/groups/{group}.json

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jurisdiction: uppercase key

https://probativegrowth.com/data/v1/state-civil-rights/jurisdictions/{jurisdiction}.json

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area: uppercase key

https://probativegrowth.com/data/v1/state-courts/areas/{area}.json

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jurisdiction: uppercase key

https://probativegrowth.com/data/v1/state-wage-claims/jurisdictions/{jurisdiction}.json

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jurisdiction: uppercase key

https://probativegrowth.com/data/v1/toxic-releases/jurisdictions/{jurisdiction}.json

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jurisdiction: uppercase key

https://probativegrowth.com/data/v1/truck-crashes/jurisdictions/{jurisdiction}.json

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jurisdiction: uppercase key

https://probativegrowth.com/data/v1/tx-nonsubscribers/jurisdictions/{jurisdiction}.json

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jurisdiction: uppercase key

https://probativegrowth.com/data/v1/unemployment/jurisdictions/{jurisdiction}.json

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jurisdiction: uppercase key

https://probativegrowth.com/data/v1/union-membership/jurisdictions/{jurisdiction}.json

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jurisdiction: uppercase key

https://probativegrowth.com/data/v1/uscis-offices/jurisdictions/{jurisdiction}.json

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jurisdiction: uppercase key

https://probativegrowth.com/data/v1/va-compensation/jurisdictions/{jurisdiction}.json

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jurisdiction: uppercase key

https://probativegrowth.com/data/v1/va-spending/jurisdictions/{jurisdiction}.json

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jurisdiction: uppercase key

https://probativegrowth.com/data/v1/vehicle-complaints/jurisdictions/{jurisdiction}.json

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jurisdiction: uppercase key

https://probativegrowth.com/data/v1/veterans-representation/jurisdictions/{jurisdiction}.json

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jurisdiction: uppercase key

https://probativegrowth.com/data/v1/wage-enforcement/jurisdictions/{jurisdiction}.json

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jurisdiction: uppercase key

https://probativegrowth.com/data/v1/warn-layoffs/jurisdictions/{jurisdiction}.json

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jurisdiction: uppercase key

https://probativegrowth.com/data/v1/wc-benefits/jurisdictions/{jurisdiction}.json

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state: uppercase key

https://probativegrowth.com/data/v1/work-injuries/states/{state}.json

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