Log in
Language:

WEKO3
  • Top
  • Communities
  • Ranking
AND
To
lat lon distance
To

Field does not validate



Index Link

Index Tree

Please input email address.

WEKO

One fine body…

WEKO

One fine body…

Item

{"_buckets": {"deposit": "213d9e18-5918-4d8b-a90d-7f4ec6e0d786"}, "_deposit": {"created_by": 10, "id": "2006962", "owner": "10", "owners": [10], "owners_ext": {"displayname": "IERsysadmin", "username": null}, "pid": {"revision_id": 0, "type": "depid", "value": "2006962"}, "status": "published"}, "_oai": {"id": "oai:d-repo.ier.hit-u.ac.jp:02006962", "sets": []}, "author_link": [], "item_1551264308487": {"attribute_name": "Title", "attribute_value_mlt": [{"subitem_1551255647225": "GIS\u3092\u7528\u3044\u305f\u90fd\u5e02\u30fb\u5730\u57df\u306e\u7a7a\u9593\u69cb\u9020\u3068\u5973\u6027\u5c31\u696d\u306b\u95a2\u3059\u308b\u7814\u7a76\uff1a\u30aa\u30fc\u30c0\u30fc\u30e1\u30fc\u30c9\u96c6\u8a08\u88dc\u52a9\u30d7\u30ed\u30b8\u30a7\u30af\u30c8\uff082018\u5e74\u5ea6\uff09 No.1", "subitem_1551255648112": "ja"}, {"subitem_1551255647225": "Urban and regional spatial structures and female employment using GIS:Support for custom-made aggregate statistics (FY 2018) No.1", "subitem_1551255648112": "en"}]}, "item_1551264629907": {"attribute_name": "Copyright", "attribute_value_mlt": [{"subitem_1551257025236": [{"subitem_1551257047388": "ja"}], "subitem_1551257030435": "https://creativecommons.org/publicdomain/mark/1.0/deed.ja"}, {"subitem_1551257025236": [{"subitem_1551257047388": "en"}], "subitem_1551257030435": "https://creativecommons.org/publicdomain/mark/1.0/deed.en"}]}, "item_1551264846237": {"attribute_name": "Summary DDI", "attribute_value_mlt": [{"subitem_1551255577890": "\u7b2c1\u8868:\u5730\u57df\u3001\u4e16\u5e2f\u4e3b\u3068\u306e\u7d9a\u304d\u67c4\u3001\u5728\u5b66\u304b\u5426\u304b\u306e\u5225\u30fb\u6700\u7d42\u5352\u696d\u5b66\u6821\u306e\u7a2e\u985e\u3001\u914d\u5076\u95a2\u4fc2\u3001\u52b4\u50cd\u529b\u72b6\u614b\u3001\u5f93\u696d\u4e0a\u306e\u5730\u4f4d\u5225\u5973\u6027\uff0825\uff5e54\u6b73\uff09\uff0d\u5e73\u621012\u5e74\u003cbr/\u003e\u7b2c2\u8868:\u5730\u57df\u3001\u4e16\u5e2f\u4e3b\u3068\u306e\u7d9a\u304d\u67c4\u3001\u5728\u5b66\u304b\u5426\u304b\u306e\u5225\u30fb\u6700\u7d42\u5352\u696d\u5b66\u6821\u306e\u7a2e\u985e\u3001\u4e16\u5e2f\u306e\u5bb6\u65cf\u985e\u578b\u00d7\u5b50\u4f9b\u306e\u6709\u7121\u30fb\u5e74\u9f62\u3001\u52b4\u50cd\u529b\u72b6\u614b\u3001\u5f93\u696d\u4e0a\u306e\u5730\u4f4d\u5225\u4e16\u5e2f\u6570\uff08\u59bb\u304c25\uff5e54\u6b73\uff09\uff0d\u5e73\u621012\u5e74\u003cbr/\u003e\u7b2c3\u8868:\u5730\u57df\u3001\u4e16\u5e2f\u4e3b\u3068\u306e\u7d9a\u304d\u67c4\u3001\u914d\u5076\u95a2\u4fc2\u3001\u52b4\u50cd\u529b\u72b6\u614b\u3001\u5f93\u696d\u4e0a\u306e\u5730\u4f4d\u5225\u5973\u6027\uff0825\uff5e54\u6b73\uff09\uff0d\u5e73\u621017\u5e74\u003cbr/\u003e\u7b2c4\u8868:\u5730\u57df\u3001\u4e16\u5e2f\u4e3b\u3068\u306e\u7d9a\u304d\u67c4\u3001\u4e16\u5e2f\u306e\u5bb6\u65cf\u985e\u578b\u00d7\u5b50\u4f9b\u306e\u6709\u7121\u30fb\u5e74\u9f62\u3001\u52b4\u50cd\u529b\u72b6\u614b\u3001\u5f93\u696d\u4e0a\u306e\u5730\u4f4d\u5225\u4e16\u5e2f\u6570\uff08\u59bb\u304c25\uff5e54\u6b73\uff09\uff0d\u5e73\u621017\u5e74\u003cbr/\u003e\u7b2c5\u8868:\u5730\u57df\u3001\u4e16\u5e2f\u4e3b\u3068\u306e\u7d9a\u304d\u67c4\u3001\u5728\u5b66\u304b\u5426\u304b\u306e\u5225\u30fb\u6700\u7d42\u5352\u696d\u5b66\u6821\u306e\u7a2e\u985e\u3001\u914d\u5076\u95a2\u4fc2\u3001\u52b4\u50cd\u529b\u72b6\u614b\u3001\u5f93\u696d\u4e0a\u306e\u5730\u4f4d\u5225\u5973\u6027\uff0825\uff5e54\u6b73\uff09\uff0d\u5e73\u621022\u5e74\u003cbr/\u003e\u7b2c6\u8868:\u5730\u57df\u3001\u4e16\u5e2f\u4e3b\u3068\u306e\u7d9a\u304d\u67c4\u3001\u5728\u5b66\u304b\u5426\u304b\u306e\u5225\u30fb\u6700\u7d42\u5352\u696d\u5b66\u6821\u306e\u7a2e\u985e\u3001\u4e16\u5e2f\u306e\u5bb6\u65cf\u985e\u578b\u00d7\u5b50\u4f9b\u306e\u6570\u30fb\u5e74\u9f62\u3001\u52b4\u50cd\u529b\u72b6\u614b\u3001\u5f93\u696d\u4e0a\u306e\u5730\u4f4d\u5225\u4e16\u5e2f\u6570\uff08\u59bb\u304c25\uff5e54\u6b73\uff09\uff0d\u5e73\u621022\u5e74\u003cbr/\u003e\u7b2c7\u8868:\u5730\u57df\u3001\u4e16\u5e2f\u4e3b\u3068\u306e\u7d9a\u304d\u67c4\u3001\u914d\u5076\u95a2\u4fc2\u3001\u52b4\u50cd\u529b\u72b6\u614b\u3001\u5f93\u696d\u4e0a\u306e\u5730\u4f4d\u5225\u5973\u6027\uff0825\uff5e54\u6b73\uff09\uff0d\u5e73\u621027\u5e74\u003cbr/\u003e\u7b2c8\u8868:\u5730\u57df\u3001\u4e16\u5e2f\u4e3b\u3068\u306e\u7d9a\u304d\u67c4\u3001\u4e16\u5e2f\u306e\u5bb6\u65cf\u985e\u578b\u00d7\u5b50\u4f9b\u306e\u6570\u30fb\u5e74\u9f62\u3001\u52b4\u50cd\u529b\u72b6\u614b\u3001\u5f93\u696d\u4e0a\u306e\u5730\u4f4d\u5225\u4e16\u5e2f\u6570\uff08\u59bb\u304c25\uff5e54\u6b73\uff09\uff0d\u5e73\u621027\u5e74", "subitem_1551255592625": "ja", "subitem_1551255637472": "Abstract"}, {"subitem_1551255577890": "Table 1:Women 25 to 54 Years of Age by Region, Relationship to Head of Household, School Attendance, Type of Last School Completed, Marital Status, Labour Force Status, Status in Employment - 2000\u003cbr/\u003eTable 2:Number of Households (Wife is 25 to 54 Years of Age) by Region, Relationship to Head of Household, School Attendance, Type of Last School Completed, Family Type of Household x Child(ren)/Age, Labour Force Status, Status in Employment - 2000\u003cbr/\u003eTable 3:Women 25 to 54 Years of Age by Region, Relationship to Head of Household, Marital Status, Labour Force Status, Status in Employment - 2005\u003cbr/\u003eTable 4:Number of Households (Wife is 25 to 54 Years of Age) by Region, Relationship to Head of Household, Family Type of Household x Child(ren)/Age, Labour Force Status, Status in Employment - 2005\u003cbr/\u003eTable 5:Women 25 to 54 Years of Age by Region, Relationship to Head of Household, School Attendance, Type of Last School Completed, Marital Status, Labour Force Status, Status in Employment - 2010\u003cbr/\u003eTable 6:Number of Households (Wife is 25 to 54 Years of Age) by Region, Relationship to Head of Household, School Attendance, Type of Last School Completed, Family Type of Household x Child(ren)/Age, Labour Force Status, Status in Employment - 2010\u003cbr/\u003eTable 7:Women 25 to 54 Years of Age by Region, Relationship to Head of Household, Marital Status, Labour Force Status, Status in Employment - 2015\u003cbr/\u003eTable 8:Number of Households (Wife is 25 to 54 Years of Age) by Region, Relationship to Head of Household, Family Type of Household x Child(ren)/Age, Labour Force Status, Status in Employment - 2015", "subitem_1551255592625": "en", "subitem_1551255637472": "Abstract"}]}, "item_1551265002099": {"attribute_name": "Language", "attribute_value_mlt": [{"subitem_1551255818386": "jpn"}]}, "item_1551265075370": {"attribute_name": "Version", "attribute_value_mlt": [{"subitem_1591254914934": "1.0"}]}, "item_1551265302120": {"attribute_name": "Time Period", "attribute_value_mlt": [{"subitem_1592383206099": "2000"}, {"subitem_1592383206099": "2005"}, {"subitem_1592383206099": "2010"}, {"subitem_1592383206099": "2015"}]}, "item_1570068313185": {"attribute_name": "Geographic Coverage J", "attribute_value_mlt": [{"subitem_1603960211179": "\u65e5\u672c", "subitem_1603960230666": "ja"}]}, "item_1586157591881": {"attribute_name": "Study ID", "attribute_value_mlt": [{"subitem_1586156939407": "ORDER201801", "subitem_1591256665864": "IER"}]}, "item_1586157601478": {"attribute_name": "Identifier Registration", "attribute_value_mlt": [{"subitem_1586157064760": "10.50914/0002006962", "subitem_1586157096270": "JaLC"}]}, "item_1588254290498": {"attribute_name": "Series", "attribute_value_mlt": [{"subitem_1587462181884": "\u56fd\u52e2\u8abf\u67fb", "subitem_1587462183075": "ja"}, {"subitem_1587462181884": "Population Census of Japan", "subitem_1587462183075": "en"}]}, "item_1588259902813": {"attribute_name": "Topic CESSDA J", "attribute_value_mlt": [{"subitem_1591258818994": "\u30b8\u30a7\u30f3\u30c0\u30fc\u3068\u6027\u5225\u5f79\u5272", "subitem_1591258819866": "ja", "subitem_1591258820315": "CESSDA Topic Classification", "subitem_1591258820754": "https://vocabularies.cessda.eu/urn/urn:ddi:int.cessda.cv:TopicClassification", "subitem_1591258821194": "Other"}]}, "item_1588259962697": {"attribute_name": "Unit of Analysis J", "attribute_value_mlt": [{"subitem_1591260766940": "\u500b\u4eba", "subitem_1591260767605": "ja", "subitem_1596607897581": "Methods"}, {"subitem_1591260766940": "\u5bb6\u65cf: \u4e16\u5e2f\u5bb6\u65cf", "subitem_1591260767605": "ja", "subitem_1596607897581": "Methods"}, {"subitem_1591260766940": "\u5730\u7406\u7684\u5358\u4f4d", "subitem_1591260767605": "ja", "subitem_1596607897581": "Methods"}, {"subitem_1591260766940": "\u4e16\u5e2f", "subitem_1591260767605": "ja", "subitem_1596607897581": "Methods"}]}, "item_1588260003426": {"attribute_name": "Unit of Analysis E", "attribute_value_mlt": [{"subitem_1591261006851": "Individual", "subitem_1591261007508": "en", "subitem_1596608092525": "Methods"}, {"subitem_1591261006851": "Family: Household family", "subitem_1591261007508": "en", "subitem_1596608092525": "Methods"}, {"subitem_1591261006851": "Geographic Unit", "subitem_1591261007508": "en", "subitem_1596608092525": "Methods"}, {"subitem_1591261006851": "Household", "subitem_1591261007508": "en", "subitem_1596608092525": "Methods"}]}, "item_1588260020969": {"attribute_name": "Data Type J", "attribute_value_mlt": [{"subitem_1591178723921": "\u516c\u7684\u7d71\u8a08: \u96c6\u8a08\u30c7\u30fc\u30bf\u3001\u7d71\u8a08\u8868", "subitem_1591178724426": "ja", "subitem_1592381218980": "Other"}]}, "item_1588260046718": {"attribute_name": "Data Type E", "attribute_value_mlt": [{"subitem_1591178807921": "official statistics: aggregate data", "subitem_1591178808409": "en", "subitem_1592380784883": "Other"}]}, "item_1588260105004": {"attribute_name": "Collection Method J", "attribute_value_mlt": [{"subitem_1587459190791": "\u7de8\u96c6\uff0f\u7d71\u5408", "subitem_1587459200372": "ja", "subitem_1596610338253": "Methods"}]}, "item_1588260132250": {"attribute_name": "Collection Method E", "attribute_value_mlt": [{"subitem_1592816203268": "Compilation/Synthesis", "subitem_1592816203700": "en", "subitem_1596610186625": "Methods"}]}, "item_1588260148860": {"attribute_name": "Access J", "attribute_value_mlt": [{"subitem_1522650717957": "ja", "subitem_1522650727486": "\u30aa\u30fc\u30d7\u30f3\u30a2\u30af\u30bb\u30b9"}]}, "item_1588260178185": {"attribute_name": "Access E", "attribute_value_mlt": [{"subitem_1522650717957": "en", "subitem_1522650727486": "open access", "subitem_1522651041219": "http://purl.org/coar/access_right/c_abf2"}]}, "item_1591171125745": {"attribute_name": "Resource Type", "attribute_value_mlt": [{"resourcetype": "dataset", "resourceuri": "http://purl.org/coar/resource_type/c_ddb1"}]}, "item_1592405734122": {"attribute_name": "Distributor", "attribute_value_mlt": [{"subitem_1591320889728": "IER", "subitem_1591320890384": "Hitotsubashi University", "subitem_1591320914113": "https://www.ier.hit-u.ac.jp/Japanese/", "subitem_1591320918354": "Distributor", "subitem_1592369405220": "\u4e00\u6a4b\u5927\u5b66\u7d4c\u6e08\u7814\u7a76\u6240", "subitem_1592369407829": "ja"}, {"subitem_1591320889728": "IER", "subitem_1591320890384": "Hitotsubashi University", "subitem_1591320914113": "https://www.ier.hit-u.ac.jp/English/", "subitem_1591320918354": "Distributor", "subitem_1592369405220": "Institute of Economic Research, Hitotsubashi University", "subitem_1592369407829": "en"}]}, "item_1592405735401": {"attribute_name": "Related Publications", "attribute_value_mlt": [{"subitem_1591282556350": [{"subitem_1592383876755": "Kawabata, M., Abe, Y. (2018) \u201cIntra-metropolitan spatial patterns of female labor force participation and commute times in Tokyo.\u201d Regional Science and Urban Economics, 68: 291-303.", "subitem_1592383877507": "en"}], "subitem_1592385416676": {"subitem_1592385427281": "https://doi.org/10.1016/j.regsciurbeco.2017.11.003", "subitem_1592385438046": "DOI"}, "subitem_1592385466450": "isReferencedBy"}]}, "item_1592406896282": {"attribute_name": "Fund Agency", "attribute_value_mlt": [{"subitem_1591282476079": [{"subitem_1592367160950": "\u4e00\u6a4b\u5927\u5b66\u7d4c\u6e08\u7814\u7a76\u6240 \u4eba\u6587\u5b66\u30fb\u793e\u4f1a\u79d1\u5b66\u30c7\u30fc\u30bf\u30a4\u30f3\u30d5\u30e9\u30b9\u30c8\u30e9\u30af\u30c1\u30e3\u30fc\u69cb\u7bc9\u63a8\u9032\u4e8b\u696d", "subitem_1592462961468": "ja"}, {"subitem_1592367160950": "Program for Constructing Data Infrastructure for the Humanities and Social Sciences, Institute of Economic Research, Hitotsubashi University", "subitem_1592462961468": "en"}], "subitem_1591282907751": [{"subitem_1592367223957": "GIS\u3092\u7528\u3044\u305f\u90fd\u5e02\u30fb\u5730\u57df\u306e\u7a7a\u9593\u69cb\u9020\u3068\u5973\u6027\u5c31\u696d\u306b\u95a2\u3059\u308b\u7814\u7a76", "subitem_1592367225536": "ja"}]}]}, "item_1592880868902": {"attribute_name": "Bibliographic Citation", "attribute_value_mlt": [{"subitem_1586228465211": "(\u672c\u7d71\u8a08\u8868\u7b49\u306f)\u7d71\u8a08\u6cd5\u306b\u57fa\u3065\u3044\u3066\u3001\u72ec\u7acb\u884c\u653f\u6cd5\u4eba\u7d71\u8a08\u30bb\u30f3\u30bf\u30fc\u304b\u3089\u300c\u56fd\u52e2\u8abf\u67fb\u300d\uff08\u7dcf\u52d9\u7701\uff09\u306e\u30aa\u30fc\u30c0\u30fc\u30e1\u30fc\u30c9\u96c6\u8a08\u306b\u3088\u308a\u63d0\u4f9b\u3092\u53d7\u3051\u305f\u7d71\u8a08\u6210\u679c\u7269\u3092\u57fa\u306b\u3057\u3066\u3044\u307e\u3059\u3002", "subitem_1586228490356": "ja"}, {"subitem_1586228465211": "(These statistical tables, etc.) are based on statistical products provided by National Statistics Center of Japan, an independent administrative agency, through custom-made tabulation of the Population Census (Ministry of Internal Affairs and Communications), in accordance with the Statistics Law.", "subitem_1586228490356": "en"}]}, "item_1593074267803": {"attribute_name": "Author", "attribute_type": "creator", "attribute_value_mlt": [{"creatorNames": [{"creatorName": "\u72ec\u7acb\u884c\u653f\u6cd5\u4eba\u7d71\u8a08\u30bb\u30f3\u30bf\u30fc", "creatorNameLang": "ja"}, {"creatorName": "National Statistics Center", "creatorNameLang": "en"}], "familyNames": [{"familyName": "\u72ec\u7acb\u884c\u653f\u6cd5\u4eba\u7d71\u8a08\u30bb\u30f3\u30bf\u30fc", "familyNameLang": "ja"}, {"familyName": "National Statistics Center", "familyNameLang": "en"}]}]}, "item_1603811082773": {"attribute_name": "File Information", "attribute_type": "file", "attribute_value_mlt": [{"accessrole": "open_access", "download_preview_message": "", "file_order": 0, "filename": "2018\u5e74\u5ea6\u30aa\u30fc\u30c0\u30fc\u30e1\u30fc\u30c9\u96c6\u8a08\u30d7\u30ed\u30b8\u30a7\u30af\u30c8No.1", "future_date_message": "", "is_thumbnail": false, "mimetype": "", "size": 0, "url": {"label": "\u30aa\u30fc\u30c0\u30fc\u30e1\u30fc\u30c9\u96c6\u8a08\u88dc\u52a9\u30d7\u30ed\u30b8\u30a7\u30af\u30c8\u6210\u679c\u7269\u306e\u516c\u958b\u30da\u30fc\u30b8", "objectType": "other", "url": "https://d-infra.ier.hit-u.ac.jp/Japanese/ordermade/2018/2018-no1.html"}, "version_id": ""}, {"accessrole": "open_access", "download_preview_message": "", "file_order": 1, "filename": "FY 2018 Support for custom-made aggregate statistics No.1", "future_date_message": "", "is_thumbnail": false, "mimetype": "", "size": 0, "url": {"label": "Custom-made aggregate statistics available for download page", "objectType": "other", "url": "https://d-infra.ier.hit-u.ac.jp/English/ordermade/2018/2018-no1.html"}, "version_id": ""}]}, "item_1606717399103": {"attribute_name": "Geographic Coverage E", "attribute_value_mlt": [{"subitem_1603960373141": "Japan", "subitem_1603960374367": "en"}]}, "item_1606717399978": {"attribute_name": "Depositor", "attribute_value_mlt": [{"subitem_1602143328410": "\u6cb3\u7aef\u3000\u745e\u8cb4", "subitem_1602143330068": "ja", "subitem_1602143334501": "\u6176\u61c9\u7fa9\u587e\u5927\u5b66\u7d4c\u6e08\u5b66\u90e8", "subitem_1603871940388": "Other"}, {"subitem_1602143328410": "Mizuki KAWABATA", "subitem_1602143330068": "en", "subitem_1602143334501": "Faculty of Economics, Keio University", "subitem_1603871940388": "Other"}]}, "item_1607048755062": {"attribute_name": "Topic CESSDA E", "attribute_value_mlt": [{"subitem_1591259686465": "Gender and gender roles", "subitem_1591259687137": "en", "subitem_1591259687617": "CESSDA Topic Classification", "subitem_1591259688049": "https://vocabularies.cessda.eu/urn/urn:ddi:int.cessda.cv:TopicClassification", "subitem_1591259688513": "Other"}]}, "item_title": "GIS\u3092\u7528\u3044\u305f\u90fd\u5e02\u30fb\u5730\u57df\u306e\u7a7a\u9593\u69cb\u9020\u3068\u5973\u6027\u5c31\u696d\u306b\u95a2\u3059\u308b\u7814\u7a76\uff1a\u30aa\u30fc\u30c0\u30fc\u30e1\u30fc\u30c9\u96c6\u8a08\u88dc\u52a9\u30d7\u30ed\u30b8\u30a7\u30af\u30c8\uff082018\u5e74\u5ea6\uff09 No.1", "item_type_id": "40040", "owner": "10", "path": ["1621381886710/1621382814348"], "permalink_uri": "https://doi.org/10.50914/0002006962", "pubdate": {"attribute_name": "PubDate", "attribute_value": "2021-12-14"}, "publish_date": "2021-12-14", "publish_status": "0", "recid": "2006962", "relation": {}, "relation_version_is_last": true, "title": ["GIS\u3092\u7528\u3044\u305f\u90fd\u5e02\u30fb\u5730\u57df\u306e\u7a7a\u9593\u69cb\u9020\u3068\u5973\u6027\u5c31\u696d\u306b\u95a2\u3059\u308b\u7814\u7a76\uff1a\u30aa\u30fc\u30c0\u30fc\u30e1\u30fc\u30c9\u96c6\u8a08\u88dc\u52a9\u30d7\u30ed\u30b8\u30a7\u30af\u30c8\uff082018\u5e74\u5ea6\uff09 No.1"], "weko_shared_id": -1}
  1. Support for custom-made aggregate statistics
  2. FY 2018

Urban and regional spatial structures and female employment using GIS:Support for custom-made aggregate statistics (FY 2018) No.1

https://doi.org/10.50914/0002006962
263edab1-20c9-47ef-9c8c-c7180c65aabf
Name / File License Actions
2018年度オーダーメード集計プロジェクトNo.1 オーダーメード集計補助プロジェクト成果物の公開ページ
FY Custom-made aggregate statistics available for download page
Item type OrdermadeAggregate(1)
PubDate 2021-12-14
Title
Title GISを用いた都市・地域の空間構造と女性就業に関する研究：オーダーメード集計補助プロジェクト（2018年度） No.1
Language ja
Title
Title Urban and regional spatial structures and female employment using GIS:Support for custom-made aggregate statistics (FY 2018) No.1
Language en
Study ID
Study ID ORDER201801
IDAgency IER
DOI
DOI 10.50914/0002006962
Identifier Registration Type JaLC
Author National Statistics Center

× National Statistics Center

ja 独立行政法人統計センター
en National Statistics Center
Search repository
License
License
Language ja
Rights Resource https://creativecommons.org/publicdomain/mark/1.0/deed.ja
License
License
Language en
Rights Resource https://creativecommons.org/publicdomain/mark/1.0/deed.en
Funding Agency
Funding Agency
Funding Agency 一橋大学経済研究所 人文学・社会科学データインフラストラクチャー構築推進事業
Language ja
Funding Agency
Funding Agency Program for Constructing Data Infrastructure for the Humanities and Social Sciences, Institute of Economic Research, Hitotsubashi University
Language en
Distributor
Distributor 一橋大学経済研究所
Language ja
Abbreviation IER
Affiliation Hitotsubashi University
URI https://www.ier.hit-u.ac.jp/Japanese/
Contributor type Distributor
Distributor
Distributor Institute of Economic Research, Hitotsubashi University
Language en
Abbreviation IER
Affiliation Hitotsubashi University
URI https://www.ier.hit-u.ac.jp/English/
Contributor type Distributor
Provider
Provider 河端　瑞貴
Language ja
Affiliation 慶應義塾大学経済学部
Contributortype Other
Provider
Provider Mizuki KAWABATA
Language en
Affiliation Faculty of Economics, Keio University
Contributortype Other
Series
Series 国勢調査
Language ja
Series
Series Population Census of Japan
Language en
Version
Version 1.0
Bibliographic Citation
Bibliographic Citation (本統計表等は)統計法に基づいて、独立行政法人統計センターから「国勢調査」（総務省）のオーダーメード集計により提供を受けた統計成果物を基にしています。
Language ja
Bibliographic Citation
Bibliographic Citation (These statistical tables, etc.) are based on statistical products provided by National Statistics Center of Japan, an independent administrative agency, through custom-made tabulation of the Population Census (Ministry of Internal Affairs and Communications), in accordance with the Statistics Law.
Language en
Topic
Topic ジェンダーと性別役割
Language ja
Vocabulary CESSDA Topic Classification
Vocabulary URI https://vocabularies.cessda.eu/urn/urn:ddi:int.cessda.cv:TopicClassification
SubjectScheme Other
Topic
Topic E Gender and gender roles
Language en
Topic Vocab CESSDA Topic Classification
Topic Vocab URI https://vocabularies.cessda.eu/urn/urn:ddi:int.cessda.cv:TopicClassification
Subject Scheme Other
Summary
Summary 第1表:地域、世帯主との続き柄、在学か否かの別・最終卒業学校の種類、配偶関係、労働力状態、従業上の地位別女性（25～54歳）－平成12年<br/>第2表:地域、世帯主との続き柄、在学か否かの別・最終卒業学校の種類、世帯の家族類型×子供の有無・年齢、労働力状態、従業上の地位別世帯数（妻が25～54歳）－平成12年<br/>第3表:地域、世帯主との続き柄、配偶関係、労働力状態、従業上の地位別女性（25～54歳）－平成17年<br/>第4表:地域、世帯主との続き柄、世帯の家族類型×子供の有無・年齢、労働力状態、従業上の地位別世帯数（妻が25～54歳）－平成17年<br/>第5表:地域、世帯主との続き柄、在学か否かの別・最終卒業学校の種類、配偶関係、労働力状態、従業上の地位別女性（25～54歳）－平成22年<br/>第6表:地域、世帯主との続き柄、在学か否かの別・最終卒業学校の種類、世帯の家族類型×子供の数・年齢、労働力状態、従業上の地位別世帯数（妻が25～54歳）－平成22年<br/>第7表:地域、世帯主との続き柄、配偶関係、労働力状態、従業上の地位別女性（25～54歳）－平成27年<br/>第8表:地域、世帯主との続き柄、世帯の家族類型×子供の数・年齢、労働力状態、従業上の地位別世帯数（妻が25～54歳）－平成27年
Language ja
Description Type Abstract
Summary
Summary Table 1:Women 25 to 54 Years of Age by Region, Relationship to Head of Household, School Attendance, Type of Last School Completed, Marital Status, Labour Force Status, Status in Employment - 2000<br/>Table 2:Number of Households (Wife is 25 to 54 Years of Age) by Region, Relationship to Head of Household, School Attendance, Type of Last School Completed, Family Type of Household x Child(ren)/Age, Labour Force Status, Status in Employment - 2000<br/>Table 3:Women 25 to 54 Years of Age by Region, Relationship to Head of Household, Marital Status, Labour Force Status, Status in Employment - 2005<br/>Table 4:Number of Households (Wife is 25 to 54 Years of Age) by Region, Relationship to Head of Household, Family Type of Household x Child(ren)/Age, Labour Force Status, Status in Employment - 2005<br/>Table 5:Women 25 to 54 Years of Age by Region, Relationship to Head of Household, School Attendance, Type of Last School Completed, Marital Status, Labour Force Status, Status in Employment - 2010<br/>Table 6:Number of Households (Wife is 25 to 54 Years of Age) by Region, Relationship to Head of Household, School Attendance, Type of Last School Completed, Family Type of Household x Child(ren)/Age, Labour Force Status, Status in Employment - 2010<br/>Table 7:Women 25 to 54 Years of Age by Region, Relationship to Head of Household, Marital Status, Labour Force Status, Status in Employment - 2015<br/>Table 8:Number of Households (Wife is 25 to 54 Years of Age) by Region, Relationship to Head of Household, Family Type of Household x Child(ren)/Age, Labour Force Status, Status in Employment - 2015
Language en
Description Type Abstract
Time Period(s)
Time Period(s) 2000
Time Period(s)
Time Period(s) 2005
Time Period(s)
Time Period(s) 2010
Time Period(s)
Time Period(s) 2015
Geographic Coverage
geographic Coverage 日本
language ja
Geographic Coverage
geographic Coverage Japan
language en
Unit of Analysis
Unit of Analysis 個人
Language ja
Description Type Methods
Unit of Analysis
Unit of Analysis 家族: 世帯家族
Language ja
Description Type Methods
Unit of Analysis
Unit of Analysis 地理的単位
Language ja
Description Type Methods
Unit of Analysis
Unit of Analysis 世帯
Language ja
Description Type Methods
Unit of Analysis
Unitof Analysis Individual
Language en
Description Type Methods
Unit of Analysis
Unitof Analysis Family: Household family
Language en
Description Type Methods
Unit of Analysis
Unitof Analysis Geographic Unit
Language en
Description Type Methods
Unit of Analysis
Unitof Analysis Household
Language en
Description Type Methods
Data Type
Data Type 公的統計: 集計データ、統計表
Language ja
Description Type Other
Data Type
Data Type official statistics: aggregate data
Language en
Description Type Other
Collection Method
Collection Method 編集／統合
Language ja
Description Type Methods
Collection Method
Collection Method Compilation/Synthesis
Language en
Description Type Methods
Access
Language ja
Access オープンアクセス
Access
Language en
Access open access
Rdf:Resource http://purl.org/coar/access_right/c_abf2
Language
Language jpn
Related Publications
Related Publications
Related Publications Kawabata, M., Abe, Y. (2018) “Intra-metropolitan spatial patterns of female labor force participation and commute times in Tokyo.” Regional Science and Urban Economics, 68: 291-303.
Language en
Related Identifier
Related Identifier https://doi.org/10.1016/j.regsciurbeco.2017.11.003
Related Identifier Type DOI
RelationType isReferencedBy
Resorce type
Type dataset
Resource http://purl.org/coar/resource_type/c_ddb1
Back
0
views
See details
Views

Versions

Ver.1 2021-12-14 02:11:32.357863
Show All versions

Share

Mendeley CiteULike Twitter Facebook Print Addthis

Cite as

Export

OAI-PMH
  • OAI-PMH JPCOAR
  • OAI-PMH DublinCore
  • OAI-PMH DDI
Other Formats
  • JSON
  • BIBTEX

Confirm

Powered by CERN Data Centre & Invenio

Powered by CERN Data Centre & Invenio