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| f | 1 | { | f | 1 | { |
| 2 | "author": null, | 2 | "author": null, | ||
| 3 | "author_email": null, | 3 | "author_email": null, | ||
| 4 | "conforms_to": "", | 4 | "conforms_to": "", | ||
| 5 | "contact_email": "Paystats@centralbank.ie", | 5 | "contact_email": "Paystats@centralbank.ie", | ||
| 6 | "contact_name": "", | 6 | "contact_name": "", | ||
| 7 | "contact_phone": "", | 7 | "contact_phone": "", | ||
| 8 | "creator_user_id": "eac60595-ed86-4b68-97bf-42ddc74c47e2", | 8 | "creator_user_id": "eac60595-ed86-4b68-97bf-42ddc74c47e2", | ||
| 9 | "frequency": "Annual", | 9 | "frequency": "Annual", | ||
| 10 | "groups": [], | 10 | "groups": [], | ||
| 11 | "id": "58cd6e31-de01-430e-b6d2-667d10d52713", | 11 | "id": "58cd6e31-de01-430e-b6d2-667d10d52713", | ||
| 12 | "isopen": true, | 12 | "isopen": true, | ||
| 13 | "issued": "2025-10-16", | 13 | "issued": "2025-10-16", | ||
| 14 | "language": "en", | 14 | "language": "en", | ||
| 15 | "license_id": "CC-BY-4.0", | 15 | "license_id": "CC-BY-4.0", | ||
| 16 | "license_title": "Creative Commons Attribution 4.0", | 16 | "license_title": "Creative Commons Attribution 4.0", | ||
| 17 | "license_url": "https://creativecommons.org/licenses/by/4.0/", | 17 | "license_url": "https://creativecommons.org/licenses/by/4.0/", | ||
| 18 | "maintainer": null, | 18 | "maintainer": null, | ||
| 19 | "maintainer_email": null, | 19 | "maintainer_email": null, | ||
| 20 | "metadata_created": "2025-10-16T10:58:53.264135", | 20 | "metadata_created": "2025-10-16T10:58:53.264135", | ||
| n | 21 | "metadata_modified": "2025-10-16T10:58:54.891602", | n | 21 | "metadata_modified": "2025-10-16T10:58:57.169201", |
| 22 | "name": "payment-fraud-statistics", | 22 | "name": "payment-fraud-statistics", | ||
| 23 | "notes_translated": { | 23 | "notes_translated": { | ||
| 24 | "en": "Payments data is reported by payment service providers | 24 | "en": "Payments data is reported by payment service providers | ||
| 25 | (PSPs) including banks, credit unions, payment institutions, e-money | 25 | (PSPs) including banks, credit unions, payment institutions, e-money | ||
| 26 | institutions and payment service operators (companies that processes | 26 | institutions and payment service operators (companies that processes | ||
| 27 | clearing and settlement of payment transactions) resident in Ireland | 27 | clearing and settlement of payment transactions) resident in Ireland | ||
| 28 | in accordance with the Payment Statistics Regulation introduced in | 28 | in accordance with the Payment Statistics Regulation introduced in | ||
| 29 | 2022. This includes fraud and non fraud data in the same dataset | 29 | 2022. This includes fraud and non fraud data in the same dataset | ||
| 30 | with an identifier to distinguish the two.\r\nThe frequency of data | 30 | with an identifier to distinguish the two.\r\nThe frequency of data | ||
| 31 | collection is semi-annual basis, and covers:\r\n\r\n\u2022\tTotal | 31 | collection is semi-annual basis, and covers:\r\n\r\n\u2022\tTotal | ||
| 32 | value and volume of payment ( inclusive of fraudulent payment) | 32 | value and volume of payment ( inclusive of fraudulent payment) | ||
| 33 | transactions by payment methods used (card payments, cash withdrawals, | 33 | transactions by payment methods used (card payments, cash withdrawals, | ||
| 34 | credit transfers, direct debits, electronic-money and | 34 | credit transfers, direct debits, electronic-money and | ||
| 35 | remittances).\r\n\r\n\u2022\tMain types of fraud for electronically | 35 | remittances).\r\n\r\n\u2022\tMain types of fraud for electronically | ||
| 36 | initiated - card payments, cash withdrawals, credit transfers, direct | 36 | initiated - card payments, cash withdrawals, credit transfers, direct | ||
| 37 | debits and e-money payments.\r\n\r\n\u2022\tGranular details include | 37 | debits and e-money payments.\r\n\r\n\u2022\tGranular details include | ||
| 38 | regional breakdown by country to which the payment is sent/received, | 38 | regional breakdown by country to which the payment is sent/received, | ||
| 39 | payment channel used whether electronic or non-electronic (file or | 39 | payment channel used whether electronic or non-electronic (file or | ||
| 40 | paper based forms), payment sub channel used such as online (remote) | 40 | paper based forms), payment sub channel used such as online (remote) | ||
| 41 | or via payment terminal at the counter (non-remote), use of strong | 41 | or via payment terminal at the counter (non-remote), use of strong | ||
| 42 | customer authentication (SCA) during the payment\r\n\r\n\u2022\tLosses | 42 | customer authentication (SCA) during the payment\r\n\r\n\u2022\tLosses | ||
| 43 | due to fraud and the distribution of losses among payment service | 43 | due to fraud and the distribution of losses among payment service | ||
| 44 | user, payment service provider and other parties.\r\n\r\nDataset HPAY | 44 | user, payment service provider and other parties.\r\n\r\nDataset HPAY | ||
| 45 | is the parent dataset with key headline numbers of all the payment | 45 | is the parent dataset with key headline numbers of all the payment | ||
| 46 | services. Individual datasets like HPCT (Credit Transfers), HPDD | 46 | services. Individual datasets like HPCT (Credit Transfers), HPDD | ||
| 47 | (Direct debits), HPEM (e-money), HPCP (card payments) has more | 47 | (Direct debits), HPEM (e-money), HPCP (card payments) has more | ||
| 48 | granular details as per the payment types . \r\n For quick references | 48 | granular details as per the payment types . \r\n For quick references | ||
| 49 | in relation to fraudulent payments in the datasets, refer to column | 49 | in relation to fraudulent payments in the datasets, refer to column | ||
| 50 | FRD_TYP with codes like | 50 | FRD_TYP with codes like | ||
| 51 | \u201cF\u201d,\u201dF1\u201d,\u201dF2\u201d,\u201dF3\u201d etc . | 51 | \u201cF\u201d,\u201dF1\u201d,\u201dF2\u201d,\u201dF3\u201d etc . | ||
| 52 | Description of the fraud codes are in the subsequent column | 52 | Description of the fraud codes are in the subsequent column | ||
| 53 | FRD_TYP_DESC. Non-fraud payments takes a default value of | 53 | FRD_TYP_DESC. Non-fraud payments takes a default value of | ||
| 54 | \u201c_Z\u201d. For complete dataset description and hierarchy | 54 | \u201c_Z\u201d. For complete dataset description and hierarchy | ||
| 55 | details, kindly refer to the manual here on the Central bank | 55 | details, kindly refer to the manual here on the Central bank | ||
| 56 | website.\r\n", | 56 | website.\r\n", | ||
| 57 | "ga": "_" | 57 | "ga": "_" | ||
| 58 | }, | 58 | }, | ||
| 59 | "num_resources": 7, | 59 | "num_resources": 7, | ||
| 60 | "num_tags": 5, | 60 | "num_tags": 5, | ||
| 61 | "organization": { | 61 | "organization": { | ||
| 62 | "approval_status": "approved", | 62 | "approval_status": "approved", | ||
| 63 | "created": "2023-12-04T14:30:15.853340", | 63 | "created": "2023-12-04T14:30:15.853340", | ||
| 64 | "description": "", | 64 | "description": "", | ||
| 65 | "id": "19f1b695-4a5b-4174-8693-34f1f6ca6b4f", | 65 | "id": "19f1b695-4a5b-4174-8693-34f1f6ca6b4f", | ||
| 66 | "image_url": "", | 66 | "image_url": "", | ||
| 67 | "is_organization": true, | 67 | "is_organization": true, | ||
| 68 | "name": "credit-and-debit-card-statistics", | 68 | "name": "credit-and-debit-card-statistics", | ||
| 69 | "state": "active", | 69 | "state": "active", | ||
| 70 | "title": "Credit and Debit Card Statistics", | 70 | "title": "Credit and Debit Card Statistics", | ||
| 71 | "type": "organization" | 71 | "type": "organization" | ||
| 72 | }, | 72 | }, | ||
| 73 | "owner_org": "19f1b695-4a5b-4174-8693-34f1f6ca6b4f", | 73 | "owner_org": "19f1b695-4a5b-4174-8693-34f1f6ca6b4f", | ||
| 74 | "private": false, | 74 | "private": false, | ||
| 75 | "provenance": "", | 75 | "provenance": "", | ||
| 76 | "relationships_as_object": [], | 76 | "relationships_as_object": [], | ||
| 77 | "relationships_as_subject": [], | 77 | "relationships_as_subject": [], | ||
| 78 | "resources": [ | 78 | "resources": [ | ||
| 79 | { | 79 | { | ||
| 80 | "api_access_url": "", | 80 | "api_access_url": "", | ||
| 81 | "api_response_formats": [], | 81 | "api_response_formats": [], | ||
| 82 | "api_type": "", | 82 | "api_type": "", | ||
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| 88 | "format": "CSV", | 88 | "format": "CSV", | ||
| 89 | "hash": "", | 89 | "hash": "", | ||
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| 93 | "mimetype": null, | 93 | "mimetype": null, | ||
| 94 | "mimetype_inner": null, | 94 | "mimetype_inner": null, | ||
| 95 | "name": "Credit Transfers (Fraud)", | 95 | "name": "Credit Transfers (Fraud)", | ||
| 96 | "notes": "", | 96 | "notes": "", | ||
| 97 | "package_id": "58cd6e31-de01-430e-b6d2-667d10d52713", | 97 | "package_id": "58cd6e31-de01-430e-b6d2-667d10d52713", | ||
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| 123 | "mimetype": null, | 123 | "mimetype": null, | ||
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| 125 | "name": "Direct Debits (Fraud)", | 125 | "name": "Direct Debits (Fraud)", | ||
| 126 | "notes": "", | 126 | "notes": "", | ||
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| 153 | "mimetype": null, | 153 | "mimetype": null, | ||
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| 155 | "name": "E-Money (Fraud)", | 155 | "name": "E-Money (Fraud)", | ||
| 156 | "notes": "", | 156 | "notes": "", | ||
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| 184 | "mimetype_inner": null, | 184 | "mimetype_inner": null, | ||
| 185 | "name": "Payment Transactions (Fraud)", | 185 | "name": "Payment Transactions (Fraud)", | ||
| 186 | "notes": "", | 186 | "notes": "", | ||
| 187 | "package_id": "58cd6e31-de01-430e-b6d2-667d10d52713", | 187 | "package_id": "58cd6e31-de01-430e-b6d2-667d10d52713", | ||
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| 215 | "name": "Card Payments 2022 (Fraud)", | 215 | "name": "Card Payments 2022 (Fraud)", | ||
| 216 | "notes": "", | 216 | "notes": "", | ||
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| 245 | "name": "Card Payments 2023 (Fraud)", | 245 | "name": "Card Payments 2023 (Fraud)", | ||
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| 258 | "api_response_formats": [], | 258 | "api_response_formats": [], | ||
| 259 | "api_type": "", | 259 | "api_type": "", | ||
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| 261 | "cache_url": null, | 261 | "cache_url": null, | ||
| 262 | "created": "2025-10-15T14:17:02.230659", | 262 | "created": "2025-10-15T14:17:02.230659", | ||
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| 265 | "format": "CSV", | 265 | "format": "CSV", | ||
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| 319 | }, | 319 | }, | ||
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| 331 | "theme": "Payment Statistics", | 331 | "theme": "Payment Statistics", | ||
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| 333 | "title_translated": { | 333 | "title_translated": { | ||
| 334 | "en": "Payment Fraud Statistics", | 334 | "en": "Payment Fraud Statistics", | ||
| 335 | "ga": "_" | 335 | "ga": "_" | ||
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| 337 | "type": "dataset", | 337 | "type": "dataset", | ||
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