haveibeenpwned breach stats

hibp-stats.md

DATA CLASS	BREACH COUNT (674)	BREACH PERCENT	TOTAL PWN COUNT
Email addresses	668	99%	12,550,581,668
Passwords	528	78%	8,129,073,504
Usernames	356	53%	3,848,673,897
Names	321	48%	6,419,053,031
IP addresses	289	43%	3,127,783,590
Phone numbers	202	30%	4,054,006,665
Dates of birth	179	27%	3,115,021,728
Physical addresses	158	23%	2,489,450,219
Genders	133	20%	3,264,501,447
Geographic locations	93	14%	3,592,797,077
Website activity	77	11%	283,619,438
Social media profiles	39	6%	1,719,672,485
Purchases	38	6%	82,362,537
Private messages	33	5%	8,622,952
Employers	25	4%	2,318,823,886
Job titles	25	4%	2,036,643,612
Browser user agent details	22	3%	71,343,748
Partial credit card data	21	3%	58,466,604
Spoken languages	17	3%	728,968,487
Marital statuses	15	2%	183,891,659
Security questions and answers	13	2%	53,085,584
Income levels	12	2%	221,587,573
Device information	12	2%	99,447,993
Government issued IDs	12	2%	12,984,311
Salutations	11	2%	155,415,256
Education levels	10	1%	311,065,452
Auth tokens	9	1%	70,051,344
Payment histories	9	1%	40,946,678
Bios	8	1%	308,293,073
Ethnicities	8	1%	224,492,880
Religions	8	1%	191,716,926
Sexual orientations	8	1%	103,182,830
Physical attributes	8	1%	57,343,145
Avatars	8	1%	26,932,524
Email messages	8	1%	11,723,845
Account balances	8	1%	10,424,372
Instant messenger identities	8	1%	2,827,558
Family structure	7	1%	173,151,212
Profile photos	7	1%	42,714,590
Nationalities	7	1%	17,875,206
Bank account numbers	7	1%	16,230,155
Occupations	6	1%	164,031,819
Social security numbers	6	1%	18,026,437
Credit cards	6	1%	9,047,526
Vehicle details	6	1%	8,012,930
Passport numbers	6	1%	2,927,833
User website URLs	5	1%	270,209,736
Credit status information	5	1%	159,421,560
Home ownership statuses	5	1%	150,308,804
Drinking habits	5	1%	54,950,708
Smoking habits	5	1%	39,055,839
Personal health data	5	1%	12,969,847
Job applications	5	1%	4,810,633
Historical passwords	5	1%	4,702,776
Social connections	5	1%	3,692,955
Partial dates of birth	5	1%	2,301,507
Time zones	5	1%	1,945,839
Relationship statuses	4	1%	564,647,393
Family members' names	4	1%	5,756,788
Personal descriptions	3	0%	29,465,733
Chat logs	3	0%	1,161,922
Age groups	3	0%	759,074
Net worths	2	0%	139,753,895
Financial investments	2	0%	139,753,895
Personal interests	2	0%	132,677,852
Sexual fetishes	2	0%	68,160,667
Political views	2	0%	51,320,868
IMSI numbers	2	0%	40,919,997
Drug habits	2	0%	28,815,732
Survey results	2	0%	24,460,893
Nicknames	2	0%	23,956,494
IMEI numbers	2	0%	20,624,169
Health insurance information	2	0%	11,820,066
Credit card CVV	2	0%	8,104,977
Partial phone numbers	2	0%	6,831,367
PINs	2	0%	5,122,675
Loan information	2	0%	2,631,379
Ages	2	0%	1,336,754
Homepage URLs	2	0%	1,264,321
Financial transactions	2	0%	532,919
SMS messages	2	0%	100,130
Password hints	1	0%	152,445,165
Work habits	1	0%	27,393,015
Travel habits	1	0%	27,393,015
Parenting plans	1	0%	27,393,015
Fitness levels	1	0%	27,393,015
Astrological signs	1	0%	27,393,015
Licence plates	1	0%	20,949,825
Cellular network names	1	0%	20,580,060
Apps installed on devices	1	0%	20,580,060
Address book contacts	1	0%	20,580,060
Login histories	1	0%	20,339,937
Device serial numbers	1	0%	20,339,937
Political donations	1	0%	8,176,132
Charitable donations	1	0%	8,176,132
Buying preferences	1	0%	8,176,132
Purchasing habits	1	0%	7,196,890
Password strengths	1	0%	5,814,988
Races	1	0%	3,867,997
Driver's licenses	1	0%	2,743,539
Appointments	1	0%	2,660,295
Payment methods	1	0%	2,424,784
Deceased statuses	1	0%	2,257,930
Recovery email addresses	1	0%	1,476,783
Flights taken	1	0%	1,460,130
Mnemonic phrases	1	0%	1,408,078
Encrypted keys	1	0%	1,408,078
Eating habits	1	0%	1,383,759
Delivery instructions	1	0%	1,117,405
HIV statuses	1	0%	1,107,034
Car ownership statuses	1	0%	1,100,089
Beauty ratings	1	0%	1,100,089
Years of professional experience	1	0%	1,073,164
Professional skills	1	0%	1,073,164
Spouses names	1	0%	768,890
Places of birth	1	0%	768,890
Mothers maiden names	1	0%	768,890
Living costs	1	0%	768,890
Device usage tracking data	1	0%	699,793
School grades (class levels)	1	0%	542,902
Taxation records	1	0%	471,167
Biometric data	1	0%	228,605
User statuses	1	0%	149,830
MAC addresses	1	0%	139,395
Customer interactions	1	0%	139,395
Customer feedback	1	0%	88,678
Utility bills	1	0%	81,830
Deceased date	1	0%	81,830
Employment statuses	1	0%	49,681
Photos	1	0%	44,109
Browsing histories	1	0%	44,109
Audio recordings	1	0%	44,109
Career levels	1	0%	36,789
Support tickets	1	0%	26,815
Vehicle identification numbers (VINs)	1	0%	20,032
Reward program balances	1	0%	2,239

index.js

#!/usr/bin/env node

import CachedFetch from "@11ty/eleventy-fetch";
import _sortBy from "lodash.sortby";

const breaches = await getBreaches();
const dataClassMap = new Map();

for (const b of breaches) {
  for (const dc of b.DataClasses) {
    const arr = dataClassMap.get(dc) || [];
    arr.push(b.PwnCount);
    dataClassMap.set(dc, arr);
  }
}


const data = [];
for (const [dataClass, pwnCountArr] of dataClassMap) {
  data.push({
    dataClass,
    count: pwnCountArr.length,
    percent: pwnCountArr.length / breaches.length,
    sum: arrSum(pwnCountArr),
  });
}

console.log(`DATA CLASS | BREACH COUNT (${breaches.length}) | BREACH PERCENT | TOTAL PWN COUNT\n:----|----:|----:|----:|`);
const sorted = _sortBy(data, ["percent", "count", "sum"]).reverse();
for (const b of sorted) {
  console.log(`${b.dataClass} | ${b.count} | ${numFormat(b.percent, "percent")} | ${numFormat(b.sum)}`);
}

function numFormat(value, style="decimal") {
  return new Intl.NumberFormat("en-US", {
    style,
  }).format(value);
}

function arrSum(arr = []) {
  return arr.reduce((sum, item) => sum + item);
}

async function getBreaches() {
  return CachedFetch("https://haveibeenpwned.com/api/v3/breaches", { type: "json", duration: "6h" });
}