Free Name Explorer · data 1.0.0
selo-soft.
Name Explorer

Statistical provenance

← Nisa
{
    "observations": [
        {
            "country": "US",
            "global_name_gender_inferred": false,
            "method": "deterministic_sum_of_source_counts",
            "published_count": 17,
            "reported_sex": "female",
            "source_csv_rows": [
                2156565
            ],
            "source_ref": "US",
            "year": 2025
        },
        {
            "country": "DE",
            "global_name_gender_inferred": false,
            "method": "deterministic_sum_of_source_counts",
            "published_count": 39,
            "reported_sex": "female",
            "source_csv_rows": [
                142460,
                143290,
                144040,
                144268,
                146191,
                148876,
                148879,
                152677,
                153273
            ],
            "source_ref": "DE",
            "year": 2023
        },
        {
            "country": "GB",
            "geography": "England and Wales",
            "global_name_gender_inferred": false,
            "method": "source_reported",
            "population_scope_ref": "girls-2025.xlsx:Notes!A6:B6",
            "published_count": 10,
            "published_rank": 2605,
            "rank_quality": "source_rank_disagrees_with_published_counts",
            "reported_sex": "female",
            "source_csv_rows": [
                50964
            ],
            "source_ref": "GB",
            "year": 2025
        },
        {
            "country": "DE",
            "evidence_id": "ev:8a7f5be2-99aa-59c1-9182-ee99214190c4",
            "geography": "Köln",
            "global_name_gender_inferred": false,
            "method": "source_reported",
            "name_position": 1,
            "published_count": 9,
            "published_rank": null,
            "reported_sex": "female",
            "scope_note": "source_description_position_conflict",
            "source_csv_rows": [
                21071
            ],
            "source_observation_id": "obs:2d6aafda-919b-5a16-8588-1936b61a77aa",
            "source_ref": "DE_KOELN",
            "source_reported_sex": "w",
            "unit": "published_name_occurrences_at_position",
            "year": 2022
        },
        {
            "country": "DE",
            "evidence_id": "ev:870bdcc4-cec2-531e-abba-eb2fd0a99640",
            "geography": "Köln",
            "global_name_gender_inferred": false,
            "method": "source_reported",
            "name_position": 2,
            "published_count": 2,
            "published_rank": null,
            "reported_sex": "female",
            "scope_note": "source_description_position_conflict",
            "source_csv_rows": [
                22581
            ],
            "source_observation_id": "obs:aa8793d8-65c7-5a9e-8b02-de7fcacbad71",
            "source_ref": "DE_KOELN",
            "source_reported_sex": "w",
            "unit": "published_name_occurrences_at_position",
            "year": 2022
        },
        {
            "aggregation_allowed": false,
            "country": "DE",
            "evidence_id": "ev:f814e8f8-b8fa-52dc-99df-65e81bf6e7bc",
            "geography": "Köln",
            "global_name_gender_inferred": false,
            "method": "source_reported",
            "name_position": null,
            "published_count": 30,
            "published_rank": null,
            "reported_sex": "female",
            "resolved_text": "Nisa",
            "scope_note": "position_absent_repeated_keys_not_aggregated",
            "source_csv_rows": [
                114
            ],
            "source_observation_id": "obs:f897f9b2-4f06-5b31-9613-cf8069adae24",
            "source_ref": "DE_KOELN_HISTORY",
            "source_reported_sex": "w",
            "source_text": "Nisa",
            "text_method": "NFC",
            "unit": "published_name_count_position_unspecified",
            "year": 2010
        },
        {
            "aggregation_allowed": false,
            "country": "DE",
            "evidence_id": "ev:01b9f858-65ee-50d8-81a9-a7c51527dbe0",
            "geography": "Köln",
            "global_name_gender_inferred": false,
            "method": "source_reported",
            "name_position": null,
            "published_count": 18,
            "published_rank": null,
            "reported_sex": "female",
            "resolved_text": "Nisa",
            "scope_note": "position_absent_repeated_keys_not_aggregated",
            "source_csv_rows": [
                5247
            ],
            "source_observation_id": "obs:3b6592b3-7fc4-5fca-8dbc-60643f3065bb",
            "source_ref": "DE_KOELN_HISTORY",
            "source_reported_sex": "w",
            "source_text": "Nisa",
            "text_method": "NFC",
            "unit": "published_name_count_position_unspecified",
            "year": 2011
        },
        {
            "aggregation_allowed": false,
            "country": "DE",
            "evidence_id": "ev:c01f753f-a42a-5503-930e-975cc92e057b",
            "geography": "Köln",
            "global_name_gender_inferred": false,
            "method": "source_reported",
            "name_position": null,
            "published_count": 21,
            "published_rank": null,
            "reported_sex": "female",
            "resolved_text": "Nisa",
            "scope_note": "position_absent_repeated_keys_not_aggregated",
            "source_csv_rows": [
                10287
            ],
            "source_observation_id": "obs:a6620746-10ea-5a6f-bc74-131890bb23ee",
            "source_ref": "DE_KOELN_HISTORY",
            "source_reported_sex": "w",
            "source_text": "Nisa",
            "text_method": "NFC",
            "unit": "published_name_count_position_unspecified",
            "year": 2012
        },
        {
            "aggregation_allowed": false,
            "country": "DE",
            "evidence_id": "ev:f9934c04-12e7-5e33-9387-ff428c34d34b",
            "geography": "Köln",
            "global_name_gender_inferred": false,
            "method": "source_reported",
            "name_position": null,
            "published_count": 15,
            "published_rank": null,
            "reported_sex": "female",
            "resolved_text": "Nisa",
            "scope_note": "position_absent_repeated_keys_not_aggregated",
            "source_csv_rows": [
                15308
            ],
            "source_observation_id": "obs:f338d152-6eaf-50d3-8c3b-472cd199f72e",
            "source_ref": "DE_KOELN_HISTORY",
            "source_reported_sex": "w",
            "source_text": "Nisa",
            "text_method": "NFC",
            "unit": "published_name_count_position_unspecified",
            "year": 2013
        },
        {
            "aggregation_allowed": false,
            "country": "DE",
            "evidence_id": "ev:4bb3ea61-e550-5168-b606-8a32ac18ea25",
            "geography": "Köln",
            "global_name_gender_inferred": false,
            "method": "source_reported",
            "name_position": null,
            "published_count": 13,
            "published_rank": null,
            "reported_sex": "female",
            "resolved_text": "Nisa",
            "scope_note": "position_absent_repeated_keys_not_aggregated",
            "source_csv_rows": [
                20543
            ],
            "source_observation_id": "obs:745c56e9-b2e6-5290-a3e6-daebb63ecf7b",
            "source_ref": "DE_KOELN_HISTORY",
            "source_reported_sex": "w",
            "source_text": "Nisa",
            "text_method": "NFC",
            "unit": "published_name_count_position_unspecified",
            "year": 2014
        },
        {
            "aggregation_allowed": false,
            "country": "DE",
            "evidence_id": "ev:6dbe14db-b277-583b-91ba-4c03824b7466",
            "geography": "Köln",
            "global_name_gender_inferred": false,
            "method": "source_reported",
            "name_position": null,
            "published_count": 15,
            "published_rank": null,
            "reported_sex": "female",
            "resolved_text": "Nisa",
            "scope_note": "position_absent_repeated_keys_not_aggregated",
            "source_csv_rows": [
                25797
            ],
            "source_observation_id": "obs:712b333d-103a-52ef-a8cd-efd026f8ee68",
            "source_ref": "DE_KOELN_HISTORY",
            "source_reported_sex": "w",
            "source_text": "Nisa",
            "text_method": "NFC",
            "unit": "published_name_count_position_unspecified",
            "year": 2015
        },
        {
            "aggregation_allowed": false,
            "country": "DE",
            "evidence_id": "ev:31cf81ea-942d-5605-942d-9c2fda529820",
            "geography": "Köln",
            "global_name_gender_inferred": false,
            "method": "source_reported",
            "name_position": null,
            "published_count": 15,
            "published_rank": null,
            "reported_sex": "female",
            "resolved_text": "Nisa",
            "scope_note": "position_absent_repeated_keys_not_aggregated",
            "source_csv_rows": [
                31190
            ],
            "source_observation_id": "obs:667bbddd-f8ef-5747-872a-003e803c27c3",
            "source_ref": "DE_KOELN_HISTORY",
            "source_reported_sex": "w",
            "source_text": "Nisa",
            "text_method": "NFC",
            "unit": "published_name_count_position_unspecified",
            "year": 2016
        },
        {
            "aggregation_allowed": false,
            "country": "DE",
            "evidence_id": "ev:189fec3d-4c68-5597-8cfb-d16e87f6a6c9",
            "geography": "Köln",
            "global_name_gender_inferred": false,
            "method": "source_reported",
            "name_position": null,
            "published_count": 7,
            "published_rank": null,
            "reported_sex": "female",
            "resolved_text": "Nisa",
            "scope_note": "position_absent_repeated_keys_not_aggregated",
            "source_csv_rows": [
                37075
            ],
            "source_observation_id": "obs:798a8bb9-da8e-56a1-b140-d8e813e7c96c",
            "source_ref": "DE_KOELN_HISTORY",
            "source_reported_sex": "w",
            "source_text": "Nisa",
            "text_method": "NFC",
            "unit": "published_name_count_position_unspecified",
            "year": 2017
        },
        {
            "aggregation_allowed": false,
            "country": "DE",
            "evidence_id": "ev:9d10f217-e53d-5874-9602-901af35765e2",
            "geography": "Köln",
            "global_name_gender_inferred": false,
            "method": "source_reported",
            "name_position": null,
            "published_count": 1,
            "published_rank": null,
            "reported_sex": "female",
            "resolved_text": "Nisa",
            "scope_note": "position_absent_repeated_keys_not_aggregated",
            "source_csv_rows": [
                40409
            ],
            "source_observation_id": "obs:a116d152-978d-52b6-b7ad-561ada5885cb",
            "source_ref": "DE_KOELN_HISTORY",
            "source_reported_sex": "w",
            "source_text": "Nisa",
            "text_method": "NFC",
            "unit": "published_name_count_position_unspecified",
            "year": 2017
        },
        {
            "aggregation_allowed": false,
            "country": "DE",
            "evidence_id": "ev:1501aa19-7d32-5fff-9ed0-c81e49ef0393",
            "geography": "Köln",
            "global_name_gender_inferred": false,
            "method": "source_reported",
            "name_position": null,
            "published_count": 12,
            "published_rank": null,
            "reported_sex": "female",
            "resolved_text": "Nisa",
            "scope_note": "position_absent_repeated_keys_not_aggregated",
            "source_csv_rows": [
                43869
            ],
            "source_observation_id": "obs:3f3c6324-d2e1-50d8-ba7c-c59b5be78153",
            "source_ref": "DE_KOELN_HISTORY",
            "source_reported_sex": "w",
            "source_text": "Nisa",
            "text_method": "NFC",
            "unit": "published_name_count_position_unspecified",
            "year": 2018
        },
        {
            "aggregation_allowed": false,
            "country": "DE",
            "evidence_id": "ev:c49236b9-ff69-5fbb-9e05-10a972c488e5",
            "geography": "Köln",
            "global_name_gender_inferred": false,
            "method": "source_reported",
            "name_position": null,
            "published_count": 3,
            "published_rank": null,
            "reported_sex": "female",
            "resolved_text": "Nisa",
            "scope_note": "position_absent_repeated_keys_not_aggregated",
            "source_csv_rows": [
                44665
            ],
            "source_observation_id": "obs:7aeac718-07ed-503e-9863-336ab63370ef",
            "source_ref": "DE_KOELN_HISTORY",
            "source_reported_sex": "w",
            "source_text": "Nisa",
            "text_method": "NFC",
            "unit": "published_name_count_position_unspecified",
            "year": 2018
        },
        {
            "country": "DE",
            "evidence_id": "ev:aee2b623-c12d-5bc2-892c-d24cd0b532bd",
            "geography": "Köln",
            "global_name_gender_inferred": false,
            "method": "source_reported",
            "name_position": 1,
            "published_count": 7,
            "published_rank": null,
            "reported_sex": "female",
            "scope_note": "source_description_position_conflict",
            "source_csv_rows": [
                525
            ],
            "source_observation_id": "obs:4142b2f6-12cd-527e-ad29-599ae6335156",
            "source_ref": "DE_KOELN",
            "source_reported_sex": "w",
            "unit": "published_name_occurrences_at_position",
            "year": 2019
        },
        {
            "country": "DE",
            "evidence_id": "ev:bbb1e59b-7b5c-58b5-a834-08069850f6fa",
            "geography": "Köln",
            "global_name_gender_inferred": false,
            "method": "source_reported",
            "name_position": 2,
            "published_count": 3,
            "published_rank": null,
            "reported_sex": "female",
            "scope_note": "source_description_position_conflict",
            "source_csv_rows": [
                1326
            ],
            "source_observation_id": "obs:5752ab80-e626-5652-bd14-eea0de7fda22",
            "source_ref": "DE_KOELN",
            "source_reported_sex": "w",
            "unit": "published_name_occurrences_at_position",
            "year": 2019
        },
        {
            "country": "DE",
            "evidence_id": "ev:97126a8a-357c-53ea-8ece-3429bc2773c3",
            "geography": "Köln",
            "global_name_gender_inferred": false,
            "method": "source_reported",
            "name_position": 1,
            "published_count": 12,
            "published_rank": null,
            "reported_sex": "female",
            "scope_note": "source_description_position_conflict",
            "source_csv_rows": [
                7444
            ],
            "source_observation_id": "obs:ba0b5497-ca49-504e-9ab3-0731424e59da",
            "source_ref": "DE_KOELN",
            "source_reported_sex": "w",
            "unit": "published_name_occurrences_at_position",
            "year": 2020
        },
        {
            "country": "DE",
            "evidence_id": "ev:a5484377-0c49-5dd7-a312-114e546f752d",
            "geography": "Köln",
            "global_name_gender_inferred": false,
            "method": "source_reported",
            "name_position": 2,
            "published_count": 7,
            "published_rank": null,
            "reported_sex": "female",
            "scope_note": "source_description_position_conflict",
            "source_csv_rows": [
                7674
            ],
            "source_observation_id": "obs:ba04bb50-8d2c-5711-841d-8cd1fe3f89a9",
            "source_ref": "DE_KOELN",
            "source_reported_sex": "w",
            "unit": "published_name_occurrences_at_position",
            "year": 2020
        },
        {
            "country": "DE",
            "evidence_id": "ev:8c5ebd72-83b4-5aa0-9298-713c81f712f8",
            "geography": "Köln",
            "global_name_gender_inferred": false,
            "method": "source_reported",
            "name_position": 1,
            "published_count": 10,
            "published_rank": null,
            "reported_sex": "female",
            "scope_note": "source_description_position_conflict",
            "source_csv_rows": [
                14279
            ],
            "source_observation_id": "obs:4e6a705a-ae4e-572e-a005-5a0819634caa",
            "source_ref": "DE_KOELN",
            "source_reported_sex": "w",
            "unit": "published_name_occurrences_at_position",
            "year": 2021
        },
        {
            "country": "DE",
            "evidence_id": "ev:aa648bba-0c9a-5d13-8084-023736f20f5b",
            "geography": "Köln",
            "global_name_gender_inferred": false,
            "method": "source_reported",
            "name_position": 2,
            "published_count": 5,
            "published_rank": null,
            "reported_sex": "female",
            "scope_note": "source_description_position_conflict",
            "source_csv_rows": [
                14689
            ],
            "source_observation_id": "obs:9863e668-3869-5eb0-9c5e-c61d7f217726",
            "source_ref": "DE_KOELN",
            "source_reported_sex": "w",
            "unit": "published_name_occurrences_at_position",
            "year": 2021
        }
    ],
    "source_rows": [
        {
            "archive_member": "yob2025.txt",
            "count": "17",
            "country": "US",
            "match_basis": "exact_text_source_normalized",
            "matched_form_id": "frm:c339ff81-3e70-5c11-bddc-d940bec5d43b",
            "sex": "F",
            "source_id": "ssa-us-national",
            "source_line": "6759",
            "source_name_id": "ssa:bfa9e87c-d01f-5146-98b0-3a7232510b88",
            "statistic_id": "stat:111f2829-7b59-53b8-876e-6108a7e844ec",
            "text": "Nisa",
            "year": "2025"
        },
        {
            "city": "Berlin",
            "country": "DE",
            "district": "charlottenburg-wilmersdorf",
            "is_compound": "",
            "language": "",
            "matched_form_id": "frm:c339ff81-3e70-5c11-bddc-d940bec5d43b",
            "name_position": "1",
            "published_count": "9",
            "snapshot_sha256": "6fc9ea66f6a8b85073e588bb4dd1f3f2ce7bedf56aa06b2b1b99f097d79c8a91",
            "source_commit": "34ce79c5eccb7bc1f24087a7a3edb1a100bf39e4",
            "source_gender": "w",
            "source_member": "haeufige-vornamen-berlin-34ce79c5eccb7bc1f24087a7a3edb1a100bf39e4/data/2023/charlottenburg-wilmersdorf.csv",
            "source_name_id": "de-berlin-name:b2c506df-fdad-52cf-93ff-3010dc25de72",
            "source_partition": "district_common",
            "source_row": "109",
            "source_sha256": "2a5ffb127fd90829360b8484d0bba079556d8469996903de34cc808ae39976c7",
            "source_text": "Nisa",
            "statistic_id": "de-berlin-stat:7476865d-3f90-516d-bfb1-3d8d75638dfb",
            "text": "Nisa",
            "year": "2023"
        },
        {
            "city": "Berlin",
            "country": "DE",
            "district": "charlottenburg-wilmersdorf",
            "is_compound": "",
            "language": "",
            "matched_form_id": "frm:c339ff81-3e70-5c11-bddc-d940bec5d43b",
            "name_position": "2",
            "published_count": "2",
            "snapshot_sha256": "6fc9ea66f6a8b85073e588bb4dd1f3f2ce7bedf56aa06b2b1b99f097d79c8a91",
            "source_commit": "34ce79c5eccb7bc1f24087a7a3edb1a100bf39e4",
            "source_gender": "w",
            "source_member": "haeufige-vornamen-berlin-34ce79c5eccb7bc1f24087a7a3edb1a100bf39e4/data/2023/charlottenburg-wilmersdorf.csv",
            "source_name_id": "de-berlin-name:b2c506df-fdad-52cf-93ff-3010dc25de72",
            "source_partition": "district_common",
            "source_row": "939",
            "source_sha256": "2a5ffb127fd90829360b8484d0bba079556d8469996903de34cc808ae39976c7",
            "source_text": "Nisa",
            "statistic_id": "de-berlin-stat:c6d0e4be-8030-57a9-8895-71286a0094ab",
            "text": "Nisa",
            "year": "2023"
        },
        {
            "city": "Berlin",
            "country": "DE",
            "district": "friedrichshain-kreuzberg",
            "is_compound": "",
            "language": "",
            "matched_form_id": "frm:c339ff81-3e70-5c11-bddc-d940bec5d43b",
            "name_position": "1",
            "published_count": "2",
            "snapshot_sha256": "6fc9ea66f6a8b85073e588bb4dd1f3f2ce7bedf56aa06b2b1b99f097d79c8a91",
            "source_commit": "34ce79c5eccb7bc1f24087a7a3edb1a100bf39e4",
            "source_gender": "w",
            "source_member": "haeufige-vornamen-berlin-34ce79c5eccb7bc1f24087a7a3edb1a100bf39e4/data/2023/friedrichshain-kreuzberg.csv",
            "source_name_id": "de-berlin-name:b2c506df-fdad-52cf-93ff-3010dc25de72",
            "source_partition": "district_common",
            "source_row": "620",
            "source_sha256": "69f3cc725f47bd125cba1914d0747f872a307ee50fbde9eb2386b4e27556fafa",
            "source_text": "Nisa",
            "statistic_id": "de-berlin-stat:c50b9550-f3a9-5a32-9425-1c0bc05763ed",
            "text": "Nisa",
            "year": "2023"
        },
        {
            "city": "Berlin",
            "country": "DE",
            "district": "friedrichshain-kreuzberg",
            "is_compound": "",
            "language": "",
            "matched_form_id": "frm:c339ff81-3e70-5c11-bddc-d940bec5d43b",
            "name_position": "2",
            "published_count": "2",
            "snapshot_sha256": "6fc9ea66f6a8b85073e588bb4dd1f3f2ce7bedf56aa06b2b1b99f097d79c8a91",
            "source_commit": "34ce79c5eccb7bc1f24087a7a3edb1a100bf39e4",
            "source_gender": "w",
            "source_member": "haeufige-vornamen-berlin-34ce79c5eccb7bc1f24087a7a3edb1a100bf39e4/data/2023/friedrichshain-kreuzberg.csv",
            "source_name_id": "de-berlin-name:b2c506df-fdad-52cf-93ff-3010dc25de72",
            "source_partition": "district_common",
            "source_row": "848",
            "source_sha256": "69f3cc725f47bd125cba1914d0747f872a307ee50fbde9eb2386b4e27556fafa",
            "source_text": "Nisa",
            "statistic_id": "de-berlin-stat:c2619d88-96e7-5867-86e1-964068aa2b27",
            "text": "Nisa",
            "year": "2023"
        },
        {
            "city": "Berlin",
            "country": "DE",
            "district": "neukoelln",
            "is_compound": "",
            "language": "",
            "matched_form_id": "frm:c339ff81-3e70-5c11-bddc-d940bec5d43b",
            "name_position": "1",
            "published_count": "6",
            "snapshot_sha256": "6fc9ea66f6a8b85073e588bb4dd1f3f2ce7bedf56aa06b2b1b99f097d79c8a91",
            "source_commit": "34ce79c5eccb7bc1f24087a7a3edb1a100bf39e4",
            "source_gender": "w",
            "source_member": "haeufige-vornamen-berlin-34ce79c5eccb7bc1f24087a7a3edb1a100bf39e4/data/2023/neukoelln.csv",
            "source_name_id": "de-berlin-name:b2c506df-fdad-52cf-93ff-3010dc25de72",
            "source_partition": "district_common",
            "source_row": "66",
            "source_sha256": "9729eb659441a66513695dd837027476bb0f17b907916c7adfb1d74c95d570bd",
            "source_text": "Nisa",
            "statistic_id": "de-berlin-stat:76e2cd22-e5e4-53d7-8fee-59ff15310bba",
            "text": "Nisa",
            "year": "2023"
        },
        {
            "city": "Berlin",
            "country": "DE",
            "district": "",
            "is_compound": "",
            "language": "",
            "matched_form_id": "frm:c339ff81-3e70-5c11-bddc-d940bec5d43b",
            "name_position": "1",
            "published_count": "3",
            "snapshot_sha256": "6fc9ea66f6a8b85073e588bb4dd1f3f2ce7bedf56aa06b2b1b99f097d79c8a91",
            "source_commit": "34ce79c5eccb7bc1f24087a7a3edb1a100bf39e4",
            "source_gender": "w",
            "source_member": "haeufige-vornamen-berlin-34ce79c5eccb7bc1f24087a7a3edb1a100bf39e4/data/2023/rare_names.csv",
            "source_name_id": "de-berlin-name:b2c506df-fdad-52cf-93ff-3010dc25de72",
            "source_partition": "city_rare_residual",
            "source_row": "1201",
            "source_sha256": "a593af42fdc2f6a5995a2a2bcc0f002c96f5e0d1735d15005061f936640ae00a",
            "source_text": "Nisa",
            "statistic_id": "de-berlin-stat:a4431f5b-f6fa-5d5e-b8c1-7380c65d2ae3",
            "text": "Nisa",
            "year": "2023"
        },
        {
            "city": "Berlin",
            "country": "DE",
            "district": "",
            "is_compound": "",
            "language": "",
            "matched_form_id": "frm:c339ff81-3e70-5c11-bddc-d940bec5d43b",
            "name_position": "2",
            "published_count": "3",
            "snapshot_sha256": "6fc9ea66f6a8b85073e588bb4dd1f3f2ce7bedf56aa06b2b1b99f097d79c8a91",
            "source_commit": "34ce79c5eccb7bc1f24087a7a3edb1a100bf39e4",
            "source_gender": "w",
            "source_member": "haeufige-vornamen-berlin-34ce79c5eccb7bc1f24087a7a3edb1a100bf39e4/data/2023/rare_names.csv",
            "source_name_id": "de-berlin-name:b2c506df-fdad-52cf-93ff-3010dc25de72",
            "source_partition": "city_rare_residual",
            "source_row": "1204",
            "source_sha256": "a593af42fdc2f6a5995a2a2bcc0f002c96f5e0d1735d15005061f936640ae00a",
            "source_text": "Nisa",
            "statistic_id": "de-berlin-stat:5ae94745-d424-5370-8a10-480cc117ef92",
            "text": "Nisa",
            "year": "2023"
        },
        {
            "city": "Berlin",
            "country": "DE",
            "district": "spandau",
            "is_compound": "",
            "language": "",
            "matched_form_id": "frm:c339ff81-3e70-5c11-bddc-d940bec5d43b",
            "name_position": "1",
            "published_count": "2",
            "snapshot_sha256": "6fc9ea66f6a8b85073e588bb4dd1f3f2ce7bedf56aa06b2b1b99f097d79c8a91",
            "source_commit": "34ce79c5eccb7bc1f24087a7a3edb1a100bf39e4",
            "source_gender": "w",
            "source_member": "haeufige-vornamen-berlin-34ce79c5eccb7bc1f24087a7a3edb1a100bf39e4/data/2023/spandau.csv",
            "source_name_id": "de-berlin-name:b2c506df-fdad-52cf-93ff-3010dc25de72",
            "source_partition": "district_common",
            "source_row": "470",
            "source_sha256": "be5281278fa9852b942ce31ce71418ce652d63f7f107a60773469fa16bbcea5a",
            "source_text": "Nisa",
            "statistic_id": "de-berlin-stat:2805b4e8-d153-5e6f-a6d1-e34a66e01565",
            "text": "Nisa",
            "year": "2023"
        },
        {
            "city": "Berlin",
            "country": "DE",
            "district": "tempelhof-schoeneberg",
            "is_compound": "",
            "language": "",
            "matched_form_id": "frm:c339ff81-3e70-5c11-bddc-d940bec5d43b",
            "name_position": "1",
            "published_count": "10",
            "snapshot_sha256": "6fc9ea66f6a8b85073e588bb4dd1f3f2ce7bedf56aa06b2b1b99f097d79c8a91",
            "source_commit": "34ce79c5eccb7bc1f24087a7a3edb1a100bf39e4",
            "source_gender": "w",
            "source_member": "haeufige-vornamen-berlin-34ce79c5eccb7bc1f24087a7a3edb1a100bf39e4/data/2023/tempelhof-schoeneberg.csv",
            "source_name_id": "de-berlin-name:b2c506df-fdad-52cf-93ff-3010dc25de72",
            "source_partition": "district_common",
            "source_row": "117",
            "source_sha256": "87504689b4e01155055e460116501235f70ba26df309ff61ddca765f1233213c",
            "source_text": "Nisa",
            "statistic_id": "de-berlin-stat:1dfda3f8-6e72-5ac9-b9c9-11eb19ae7a27",
            "text": "Nisa",
            "year": "2023"
        },
        {
            "core_form_id": "frm:c339ff81-3e70-5c11-bddc-d940bec5d43b",
            "count_cell": "C2731",
            "country": "GB",
            "geography": "England and Wales",
            "name_cell": "B2731",
            "population_scope_ref": "girls-2025.xlsx:Notes!A6:B6",
            "published_count": "10",
            "published_rank": "2605",
            "rank_cell": "A2731",
            "rank_quality": "source_rank_disagrees_with_published_counts",
            "reported_sex": "female",
            "sheet": "Table_6",
            "source_id": "ons-annual-001:girls-2025.xlsx",
            "source_name_type": "s",
            "source_name_value": "Nisa",
            "source_row": "2731",
            "text": "Nisa",
            "year": "2025"
        },
        {
            "anzahl": "9",
            "geschlecht": "w",
            "jahr": "2022",
            "position": "1",
            "vorname": "Nisa"
        },
        {
            "anzahl": "2",
            "geschlecht": "w",
            "jahr": "2022",
            "position": "2",
            "vorname": "Nisa"
        },
        {
            "Jahr ": "2010",
            "anzahl": "30",
            "geschlecht": "w",
            "vorname": "Nisa"
        },
        {
            "Jahr ": "2011",
            "anzahl": "18",
            "geschlecht": "w",
            "vorname": "Nisa"
        },
        {
            "Jahr ": "2012",
            "anzahl": "21",
            "geschlecht": "w",
            "vorname": "Nisa"
        },
        {
            "Jahr ": "2013",
            "anzahl": "15",
            "geschlecht": "w",
            "vorname": "Nisa"
        },
        {
            "Jahr ": "2014",
            "anzahl": "13",
            "geschlecht": "w",
            "vorname": "Nisa"
        },
        {
            "Jahr ": "2015",
            "anzahl": "15",
            "geschlecht": "w",
            "vorname": "Nisa"
        },
        {
            "Jahr ": "2016",
            "anzahl": "15",
            "geschlecht": "w",
            "vorname": "Nisa"
        },
        {
            "Jahr ": "2017",
            "anzahl": "7",
            "geschlecht": "w",
            "vorname": "Nisa"
        },
        {
            "Jahr ": "2017",
            "anzahl": "1",
            "geschlecht": "w",
            "vorname": "Nisa"
        },
        {
            "Jahr ": "2018",
            "anzahl": "12",
            "geschlecht": "w",
            "vorname": "Nisa"
        },
        {
            "Jahr ": "2018",
            "anzahl": "3",
            "geschlecht": "w",
            "vorname": "Nisa"
        },
        {
            "anzahl": "7",
            "geschlecht": "w",
            "jahr": "2019",
            "position": "1",
            "vorname": "Nisa"
        },
        {
            "anzahl": "3",
            "geschlecht": "w",
            "jahr": "2019",
            "position": "2",
            "vorname": "Nisa"
        },
        {
            "anzahl": "12",
            "geschlecht": "w",
            "jahr": "2020",
            "position": "1",
            "vorname": "Nisa"
        },
        {
            "anzahl": "7",
            "geschlecht": "w",
            "jahr": "2020",
            "position": "2",
            "vorname": "Nisa"
        },
        {
            "anzahl": "10",
            "geschlecht": "w",
            "jahr": "2021",
            "position": "1",
            "vorname": "Nisa"
        },
        {
            "anzahl": "5",
            "geschlecht": "w",
            "jahr": "2021",
            "position": "2",
            "vorname": "Nisa"
        }
    ],
    "source_notes": {
        "baseline": "commercial-enrichment-122",
        "scope": "ONS 2025 Table_6 only",
        "workbooks": {
            "boys-2025.xlsx": {
                "source_id": "ons-annual-001:boys-2025.xlsx",
                "source_sha256": "5e372ffead26becb573499812a9290d254766bd722d1ceae1215f7c927cfefde",
                "source_url": "https://www.ons.gov.uk/file?uri=/peoplepopulationandcommunity/birthsdeathsandmarriages/livebirths/datasets/babynamesenglandandwalesbabynamesstatisticsboys/2025/2025boysbabynames.xlsx",
                "license": "OGL-UK-3.0",
                "method": "source_reported",
                "table": "Table_6",
                "table_note_marker": {
                    "cell": "A3",
                    "text": "[note 1][note 3][note 6]"
                },
                "referenced_notes": {
                    "Notes!B4": "These rankings have been produced using the exact spelling of the name given at birth registration. Similar names with different spellings have been counted separately. ",
                    "Notes!B6": "Births where the usual residence of mother was outside of England and Wales and where the name was not stated have been excluded from these figures.",
                    "Notes!B9": "Names with a count of 2 or less have been redacted using S40 of the Freedom of Information Act in order to protect the confidentiality of individuals."
                },
                "cover_scope_statements": {
                    "Cover_sheet!A8": "Babies born in England and Wales to women whose usual residence is outside England and Wales are included in the statistics for England and Wales as a whole, but excluded from any sub-division of England and Wales.",
                    "Cover_sheet!A20": "Births where the name of the baby is not stated are excluded from all the ranks. Births where the usual residence of the mother was not in England and Wales are excluded from the regional ranks and from the separate England and Wales ranks."
                },
                "population_scope_ref": "boys-2025.xlsx:Notes!A6:B6",
                "scope_interpretation": "table_specific_note_retained_with_cover_wording_difference",
                "independent_population_verification": false
            },
            "girls-2025.xlsx": {
                "source_id": "ons-annual-001:girls-2025.xlsx",
                "source_sha256": "5639f972f5d742cf2c01ee71a9948100944790a1985e3179e0c8673c4eaf07f8",
                "source_url": "https://www.ons.gov.uk/file?uri=/peoplepopulationandcommunity/birthsdeathsandmarriages/livebirths/datasets/babynamesenglandandwalesbabynamesstatisticsgirls/2025/2025girlsbabynames.xlsx",
                "license": "OGL-UK-3.0",
                "method": "source_reported",
                "table": "Table_6",
                "table_note_marker": {
                    "cell": "A3",
                    "text": "[note 1][note 3][note 6]"
                },
                "referenced_notes": {
                    "Notes!B4": "These rankings have been produced using the exact spelling of the name given at birth registration. Similar names with different spellings have been counted separately. ",
                    "Notes!B6": "Births where the usual residence of mother was outside of England and Wales and where the name was not stated have been excluded from these figures.",
                    "Notes!B9": "Names with a count of 2 or less have been redacted using S40 of the Freedom of Information Act in order to protect the confidentiality of individuals."
                },
                "cover_scope_statements": {
                    "Cover_sheet!A8": "Babies born in England and Wales to women whose usual residence is outside England and Wales are included in the statistics for England and Wales as a whole, but excluded from any sub-division of England and Wales.",
                    "Cover_sheet!A20": "Births where the name of the baby is not stated are excluded from all the ranks. Births where the usual residence of the mother was not in England and Wales are excluded from the regional ranks and from the separate England and Wales ranks."
                },
                "population_scope_ref": "girls-2025.xlsx:Notes!A6:B6",
                "scope_interpretation": "table_specific_note_retained_with_cover_wording_difference",
                "independent_population_verification": false
            }
        },
        "other_statistical_sources": {
            "US": {
                "geography": "national",
                "language_inferred": false,
                "lineage": "source CSV rows preserve original archive/file locators; see source export",
                "portable_rows_table": "statistic_rows",
                "row_coordinate": "original source_csv_rows value; Cologne uses original official CSV row numbers; other sources use preserved normalized statistical CSV coordinates",
                "scope": "published_rows_subject_to_source_suppression",
                "sha256": "f17bface576ecca4c7a30557b278e92ed6fbd5880d8762db30fe41800a7262c1",
                "snapshot_source_ids": [
                    "ssa-us-001:names.zip"
                ],
                "source_run": "ssa-us-historical-007",
                "unit": "published_registered_birth_count",
                "year": 2025
            },
            "GB": {
                "geography": "England and Wales",
                "language_inferred": false,
                "population_scope": "Per-workbook Notes note 3; see source-notes.json",
                "portable_rows_table": "statistic_rows",
                "rank_discrepancies_preserved": true,
                "row_coordinate": "original source_csv_rows value; Cologne uses original official CSV row numbers; other sources use preserved normalized statistical CSV coordinates",
                "scope": "published_Table_6_counts_at_least_3",
                "sha256": "6102d5aa74c2ad7a3a515c38f7890938bfa32d732198230f031cd5f5701d022b",
                "snapshot_source_ids": [
                    "ons-annual-001:boys-2025.xlsx",
                    "ons-annual-001:girls-2025.xlsx"
                ],
                "source_run": "ons-annual-001",
                "unit": "published_live_birth_first_name_count",
                "year": 2025
            },
            "DE_KOELN_HISTORY": {
                "aggregation_allowed": false,
                "all_years": [
                    2010,
                    2011,
                    2012,
                    2013,
                    2014,
                    2015,
                    2016,
                    2017,
                    2018
                ],
                "geography": "Köln",
                "language_inferred": false,
                "license": "dl-zero-de/2.0",
                "name_positions": null,
                "portable_rows_table": "statistic_rows",
                "rights_status": "cleared",
                "row_coordinate": "original source_csv_rows value; Cologne uses original official CSV row numbers; other sources use preserved normalized statistical CSV coordinates",
                "scope_note": "Only individually admitted rows enter names.jsonl. Full sidecar includes unreviewed rows. Repeated keys remain separate. Source text and derived text are distinct.",
                "sha256": "18e7758620f61dd3a2761444af8e560fa5deff760e73497147c2091f8a5149d4",
                "snapshot_source_ids": [
                    "cologne-statistics-002:names.csv"
                ],
                "source_run": "cologne-statistics-002",
                "unit": "published_name_count_position_unspecified"
            },
            "DE_KOELN": {
                "all_years": [
                    2019,
                    2020,
                    2021,
                    2022
                ],
                "geography": "Köln",
                "included_years": [
                    2019,
                    2020,
                    2021,
                    2022
                ],
                "language_inferred": false,
                "license": "dl-zero-de/2.0",
                "name_positions": [
                    1,
                    2,
                    3,
                    4,
                    5,
                    6
                ],
                "portable_rows_table": "statistic_rows",
                "rights_status": "cleared",
                "row_coordinate": "original source_csv_rows value; Cologne uses original official CSV row numbers; other sources use preserved normalized statistical CSV coordinates",
                "scope_note": "description says position absent; actual column retained and MD5 verified; not national Germany or unique-child totals",
                "sha256": "a86225a9e836c7d6c47b5edb315ede7be05592c593d93bf88fee83b4540194ec",
                "snapshot_source_ids": [
                    "cologne-statistics-001:names.csv"
                ],
                "source_run": "cologne-statistics-001",
                "unit": "published_name_occurrences_at_position",
                "year": null
            },
            "DE": {
                "geography": "Berlin",
                "language_inferred": false,
                "lineage": "source CSV rows preserve original archive/file locators; see source export",
                "portable_rows_table": "statistic_rows",
                "row_coordinate": "original source_csv_rows value; Cologne uses original official CSV row numbers; other sources use preserved normalized statistical CSV coordinates",
                "scope": "published_rows_subject_to_source_suppression",
                "sha256": "5cc157c874e8ee5edb390599a448a81de9ae5f8a3232d55914a82f8c95d0a660",
                "snapshot_source_ids": [
                    "de-berlin-001:repository.zip"
                ],
                "source_run": "de-berlin-016",
                "unit": "published_name_position_occurrences",
                "year": 2023
            }
        },
        "notes": "Фрагменты примечаний и координаты, не исходные книги. Для других источников сохранены метаданные базы; новые фактические утверждения не добавлялись."
    }
}