| c |
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| dataset_type |
'dataset' |
| g |
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| h |
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| is_activity_archive |
True |
| package |
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SAKERNAS\r\n###SDG Indicator:\r\n* __8.5.2__ Unemployment rate, by sex, age and persons with disabilities\r\n###CPAP Outcome:\r\n* -\r\n###CPAP Output:\r\n* -', 'format': 'XLSX', 'hash': '', 'id': '270d4937-97c3-4ce5-9ce7-0be8eaae0161', 'last_modified': '2024-05-20T02:14:30.312444', 'metadata_modified': '2024-05-20T02:20:42.264137', 'mimetype': 'application/vnd.openxmlformats-officedocument.spreadsheetml.sheet', 'mimetype_inner': None, 'name': 'Data in Indonesia, by gender', 'package_id': '512dad28-0da1-446a-bceb-f5a22f5ee448', 'position': 1, 'resource_type': None, 'size': 10227, 'state': 'active', 'url': 'https://data4children.org/dataset/512dad28-0da1-446a-bceb-f5a22f5ee448/resource/270d4937-97c3-4ce5-9ce7-0be8eaae0161/download/avg_hourly_earnings_gender.xlsx', 'url_type': 'upload'}, {'cache_last_updated': None, 'cache_url': None, 'created': '2024-05-20T02:20:42.277642', 'datastore_active': False, 'description': '###Definition:\r\n* Average hourly earnings of employees in Indonesia, aggregated by geography.\r\n###Unit of Measure:\r\n* Percent (%)\r\n###Year:\r\n* 2015, 2016, 2017, 2018, 2019, 2020\r\n###Source:\r\n* BPS - SAKERNAS\r\n###SDG Indicator:\r\n* __8.5.2__ Unemployment rate, by sex, age and persons with disabilities\r\n###CPAP Outcome:\r\n* -\r\n###CPAP Output:\r\n* -', 'format': 'XLSX', 'hash': '', 'id': 'e31490ce-1560-45de-b5c3-4daab0c8c7d2', 'last_modified': '2024-05-20T02:20:42.244149', 'metadata_modified': '2024-05-20T02:20:42.264347', 'mimetype': 'application/vnd.openxmlformats-officedocument.spreadsheetml.sheet', 'mimetype_inner': None, 'name': 'Data in Indonesia, by geography', 'package_id': '512dad28-0da1-446a-bceb-f5a22f5ee448', 'position': 2, 'resource_type': None, 'size': 9080, 'state': 'active', 'url': 'https://data4children.org/dataset/512dad28-0da1-446a-bceb-f5a22f5ee448/resource/e31490ce-1560-45de-b5c3-4daab0c8c7d2/download/avg_hourly_earnings_geography.xlsx', 'url_type': 'upload'}], 'tags': [{'display_name': 'BPS', 'id': '67c89d97-dd4c-4057-a69c-cde0e0076f85', 'name': 'BPS', 'state': 'active', 'vocabulary_id': None}, {'display_name': 'SDG', 'id': '27a90a95-ff73-4dc3-8457-65160fc73eba', 'name': 'SDG', 'state': 'active', 'vocabulary_id': None}, {'display_name': 'Social Policy', 'id': 'b3a4809b-434f-40a8-bfc2-edab398aaa52', 'name': 'Social Policy', 'state': 'active', 'vocabulary_id': None}], 'extras': [], 'groups': [], 'relationships_as_subject': [], 'relationships_as_object': []} |
| pkg |
<Package id=512dad28-0da1-446a-bceb-f5a22f5ee448 name=average-hourly-earnings-working-children-age-10-17-years title=Average hourly earnings among working children age 10-17 years version= url=BPS - SAKERNAS (calculated by SMERU) author=UNICEF author_email= maintainer= maintainer_email= notes=###Definition:
* __Average hourly earnings among working children age 10-17 years__ refers to average amount of money working children age 10-17 years make per hour worked.
###Unit of Measure:
* Avg. Hourly Earning (IDR)
###Year:
* 2015, 2016, 2017, 2018, 2019, 2020, 2021, 2022
###SDG Indicator:
* __8.5.1__ Average hourly earnings of female and male employees, by occupation, age and persons with disabilities
###CPAP Outcome:
* Child Protection
###CPAP Output:
* 4.1 Evidence base license_id=other-open type=dataset owner_org=778c64fd-f237-4bf3-973f-25501e0f5390 creator_user_id=0559a5db-3a26-43ab-a5a7-448bb0b37ded metadata_created=2024-05-19 14:16:47.134617 metadata_modified=2024-11-07 04:38:46.672926 private=False state=active> |
| pkg_dict |
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