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  "name": "average-hourly-earnings-working-children-age-10-17-years",
            
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  "notes": "###Definition:\r\n* __Average hourly earnings of 
16
  "notes": "###Definition:\r\n* __Average hourly earnings among 
            
17
employees__ refers to average amount of money employees make per hour 
17
working children age 10-17 years__ refers to average amount of money 
            
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worked.\r\n###Unit of Measure:\r\n* Amount (IDR)\r\n###Year:\r\n* 
18
working children age 10-17 years make per hour worked.\r\n###Unit of 
            
19
Measure:\r\n* Avg. Hourly Earning (IDR)\r\n###Year:\r\n* 2015, 2016, 
            
19
2015, 2016, 2017, 2018, 2019, 2020\r\n###Source:\r\n* BPS - 
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2017, 2018, 2019, 2020, 2021, 2022\r\n###Source:\r\n* BPS - 
            
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SAKERNAS\r\n###SDG Indicator:\r\n* __8.5.1__ Average hourly earnings 
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SAKERNAS\r\n###SDG Indicator:\r\n* __8.5.1__ Average hourly earnings 
            
21
of female and male employees, by occupation, age and persons with 
22
of female and male employees, by occupation, age and persons with 
            
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disabilities\r\n###CPAP Outcome:\r\n* -\r\n###CPAP Output:\r\n* -",
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disabilities\r\n###CPAP Outcome:\r\n* Child Protection\r\n###CPAP 
            
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Output:\r\n* 4.1 Evidence base",
            
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    "created": "2023-05-22T08:20:54.352759",
            
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    "description": "UNICEF, officially United Nations Children's Fund, 
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    "description": "UNICEF, officially United Nations Children's Fund, 
            
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is an agency of the United Nations responsible for providing 
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is an agency of the United Nations responsible for providing 
            
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humanitarian and developmental aid to children worldwide",
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humanitarian and developmental aid to children worldwide. For more 
            
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than 60 years, UNICEF has been reaching millions of children in 
            
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Indonesia with development and humanitarian assistance.",
            
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      "description": "###Definition:\r\n* Average hourly earnings of 
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      "description": "###Definition:\r\n* Average hourly earnings of 
            
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employees in 34 provinces.\r\n###Unit of Measure:\r\n* Amount 
54
employees in 34 provinces.\r\n###Unit of Measure:\r\n* Amount 
            
51
(IDR)\r\n###Year:\r\n* 2015, 2016, 2017, 2018, 2019, 
55
(IDR)\r\n###Year:\r\n* 2015, 2016, 2017, 2018, 2019, 
            
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2020\r\n###Source:\r\n* BPS - SAKERNAS\r\n###SDG Indicator:\r\n* 
56
2020\r\n###Source:\r\n* BPS - SAKERNAS\r\n###SDG Indicator:\r\n* 
            
53
__8.5.1__ Average hourly earnings of female and male employees, by 
57
__8.5.1__ Average hourly earnings of female and male employees, by 
            
54
occupation, age and persons with disabilities\r\n###CPAP Outcome:\r\n* 
58
occupation, age and persons with disabilities\r\n###CPAP Outcome:\r\n* 
            
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-\r\n###CPAP Output:\r\n* -",
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-\r\n###CPAP Output:\r\n* -",
            
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      "description": "###Definition:\r\n* Average hourly earnings of 
            
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employees in Indonesia, aggregated by gender.\r\n###Unit of 
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employees in Indonesia, aggregated by gender.\r\n###Unit of 
            
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Measure:\r\n* Percent (%)\r\n###Year:\r\n* 2015, 2016, 2017, 2018, 
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Measure:\r\n* Percent (%)\r\n###Year:\r\n* 2015, 2016, 2017, 2018, 
            
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2019, 2020\r\n###Source:\r\n* BPS - SAKERNAS\r\n###SDG Indicator:\r\n* 
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2019, 2020\r\n###Source:\r\n* BPS - SAKERNAS\r\n###SDG Indicator:\r\n* 
            
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__8.5.2__ Unemployment rate, by sex, age and persons with 
87
__8.5.2__ Unemployment rate, by sex, age and persons with 
            
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disabilities\r\n###CPAP Outcome:\r\n* -\r\n###CPAP Output:\r\n* -",
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employees in Indonesia, aggregated by geography.\r\n###Unit of 
113
employees in Indonesia, aggregated by geography.\r\n###Unit of 
            
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Measure:\r\n* Percent (%)\r\n###Year:\r\n* 2015, 2016, 2017, 2018, 
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Measure:\r\n* Percent (%)\r\n###Year:\r\n* 2015, 2016, 2017, 2018, 
            
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2019, 2020\r\n###Source:\r\n* BPS - SAKERNAS\r\n###SDG Indicator:\r\n* 
115
2019, 2020\r\n###Source:\r\n* BPS - SAKERNAS\r\n###SDG Indicator:\r\n* 
            
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__8.5.2__ Unemployment rate, by sex, age and persons with 
116
__8.5.2__ Unemployment rate, by sex, age and persons with 
            
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disabilities\r\n###CPAP Outcome:\r\n* -\r\n###CPAP Output:\r\n* -",
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employees in Indonesia, aggregated by education.\r\n###Unit of 
142
employees in Indonesia, aggregated by education.\r\n###Unit of 
            
139
Measure:\r\n* Percent (%)\r\n###Year:\r\n* 2015, 2016, 2017, 2018, 
143
Measure:\r\n* Percent (%)\r\n###Year:\r\n* 2015, 2016, 2017, 2018, 
            
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2019, 2020\r\n###Source:\r\n* BPS - SAKERNAS\r\n###SDG Indicator:\r\n* 
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2019, 2020\r\n###Source:\r\n* BPS - SAKERNAS\r\n###SDG Indicator:\r\n* 
            
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__8.5.2__ Unemployment rate, by sex, age and persons with 
145
__8.5.2__ Unemployment rate, by sex, age and persons with 
            
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disabilities\r\n###CPAP Outcome:\r\n* -\r\n###CPAP Output:\r\n* -",
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      "description": "###Definition:\r\n* Average hourly earnings of 
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      "description": "###Definition:\r\n* Average hourly earnings of 
            
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employees in Indonesia, aggregated by age-range.\r\n###Unit of 
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employees in Indonesia, aggregated by age-range.\r\n###Unit of 
            
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Measure:\r\n* Percent (%)\r\n###Year:\r\n* 2015, 2016, 2017, 2018, 
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Measure:\r\n* Percent (%)\r\n###Year:\r\n* 2015, 2016, 2017, 2018, 
            
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2019, 2020\r\n###Source:\r\n* BPS - SAKERNAS\r\n###SDG Indicator:\r\n* 
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2019, 2020\r\n###Source:\r\n* BPS - SAKERNAS\r\n###SDG Indicator:\r\n* 
            
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__8.5.2__ Unemployment rate, by sex, age and persons with 
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__8.5.2__ Unemployment rate, by sex, age and persons with 
            
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disabilities\r\n###CPAP Outcome:\r\n* -\r\n###CPAP Output:\r\n* -",
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disabilities\r\n###CPAP Outcome:\r\n* -\r\n###CPAP Output:\r\n* -",
            
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  "tags": [
            
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    {
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    {
            
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      "display_name": "BPS",
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      "display_name": "BPS",
            
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  ],
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  ],
            
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  "title": "Average hourly earnings of employees",
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  "title": "Average hourly earnings among working children age 10-17 
            
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years",
            
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  "type": "dataset",
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  "type": "dataset",
            
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  "url": "",
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  "url": "BPS - SAKERNAS (calculated by SMERU)",
            
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  "version": ""
            
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}
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}