Changes

              
    

          
          
        
        

            
f
1
{
f
1
{
            
2
  "author": "UNICEF",
2
  "author": "UNICEF",
            
3
  "author_email": "",
3
  "author_email": "",
            
4
  "creator_user_id": "0559a5db-3a26-43ab-a5a7-448bb0b37ded",
4
  "creator_user_id": "0559a5db-3a26-43ab-a5a7-448bb0b37ded",
            
5
  "extras": [],
5
  "extras": [],
            
6
  "groups": [],
6
  "groups": [],
            
7
  "id": "512dad28-0da1-446a-bceb-f5a22f5ee448",
7
  "id": "512dad28-0da1-446a-bceb-f5a22f5ee448",
            
8
  "isopen": true,
8
  "isopen": true,
            
9
  "license_id": "other-open",
9
  "license_id": "other-open",
            
10
  "license_title": "Other (Open)",
10
  "license_title": "Other (Open)",
            
11
  "maintainer": "",
11
  "maintainer": "",
            
12
  "maintainer_email": "",
12
  "maintainer_email": "",
            
13
  "metadata_created": "2024-05-19T14:16:47.134617",
13
  "metadata_created": "2024-05-19T14:16:47.134617",
            
n
14
  "metadata_modified": "2024-11-07T04:35:42.263935",
n
14
  "metadata_modified": "2024-11-07T04:35:53.205348",
            
15
  "name": "average-hourly-earnings-working-children-age-10-17-years",
15
  "name": "average-hourly-earnings-working-children-age-10-17-years",
            
16
  "notes": "###Definition:\r\n* __Average hourly earnings among 
16
  "notes": "###Definition:\r\n* __Average hourly earnings among 
            
17
working children age 10-17 years__ refers to average amount of money 
17
working children age 10-17 years__ refers to average amount of money 
            
18
working children age 10-17 years make per hour worked.\r\n###Unit of 
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
Measure:\r\n* Avg. Hourly Earning (IDR)\r\n###Year:\r\n* 2015, 2016, 
            
20
2017, 2018, 2019, 2020, 2021, 2022\r\n###Source:\r\n* BPS - 
20
2017, 2018, 2019, 2020, 2021, 2022\r\n###Source:\r\n* BPS - 
            
21
SAKERNAS\r\n###SDG Indicator:\r\n* __8.5.1__ Average hourly earnings 
21
SAKERNAS\r\n###SDG Indicator:\r\n* __8.5.1__ Average hourly earnings 
            
22
of female and male employees, by occupation, age and persons with 
22
of female and male employees, by occupation, age and persons with 
            
23
disabilities\r\n###CPAP Outcome:\r\n* Child Protection\r\n###CPAP 
23
disabilities\r\n###CPAP Outcome:\r\n* Child Protection\r\n###CPAP 
            
24
Output:\r\n* 4.1 Evidence base",
24
Output:\r\n* 4.1 Evidence base",
            
n
25
  "num_resources": 5,
n
25
  "num_resources": 4,
            
26
  "num_tags": 4,
26
  "num_tags": 4,
            
27
  "organization": {
27
  "organization": {
            
28
    "approval_status": "approved",
28
    "approval_status": "approved",
            
29
    "created": "2023-05-22T08:20:54.352759",
29
    "created": "2023-05-22T08:20:54.352759",
            
30
    "description": "UNICEF, officially United Nations Children's Fund, 
30
    "description": "UNICEF, officially United Nations Children's Fund, 
            
31
is an agency of the United Nations responsible for providing 
31
is an agency of the United Nations responsible for providing 
            
32
humanitarian and developmental aid to children worldwide. For more 
32
humanitarian and developmental aid to children worldwide. For more 
            
33
than 60 years, UNICEF has been reaching millions of children in 
33
than 60 years, UNICEF has been reaching millions of children in 
            
34
Indonesia with development and humanitarian assistance.",
34
Indonesia with development and humanitarian assistance.",
            
35
    "id": "778c64fd-f237-4bf3-973f-25501e0f5390",
35
    "id": "778c64fd-f237-4bf3-973f-25501e0f5390",
            
36
    "image_url": "2023-05-22-082907.473359unicef.jpeg",
36
    "image_url": "2023-05-22-082907.473359unicef.jpeg",
            
37
    "is_organization": true,
37
    "is_organization": true,
            
38
    "name": "unicef",
38
    "name": "unicef",
            
39
    "state": "active",
39
    "state": "active",
            
40
    "title": "UNICEF",
40
    "title": "UNICEF",
            
41
    "type": "organization"
41
    "type": "organization"
            
42
  },
42
  },
            
43
  "owner_org": "778c64fd-f237-4bf3-973f-25501e0f5390",
43
  "owner_org": "778c64fd-f237-4bf3-973f-25501e0f5390",
            
44
  "private": false,
44
  "private": false,
            
45
  "relationships_as_object": [],
45
  "relationships_as_object": [],
            
46
  "relationships_as_subject": [],
46
  "relationships_as_subject": [],
            
47
  "resources": [
47
  "resources": [
            
48
    {
48
    {
            
49
      "cache_last_updated": null,
49
      "cache_last_updated": null,
            
50
      "cache_url": null,
50
      "cache_url": null,
            
51
      "created": "2024-05-19T14:18:36.046437",
51
      "created": "2024-05-19T14:18:36.046437",
            
52
      "datastore_active": false,
52
      "datastore_active": false,
            
53
      "description": "###Definition:\r\n* Average hourly earnings of 
53
      "description": "###Definition:\r\n* Average hourly earnings of 
            
54
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 
            
55
(IDR)\r\n###Year:\r\n* 2015, 2016, 2017, 2018, 2019, 
55
(IDR)\r\n###Year:\r\n* 2015, 2016, 2017, 2018, 2019, 
            
56
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* 
            
57
__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 
            
58
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* 
            
59
-\r\n###CPAP Output:\r\n* -",
59
-\r\n###CPAP Output:\r\n* -",
            
60
      "format": "XLSX",
60
      "format": "XLSX",
            
61
      "hash": "",
61
      "hash": "",
            
62
      "id": "e6abf52b-0d67-44eb-a836-7fb3bfa0aff9",
62
      "id": "e6abf52b-0d67-44eb-a836-7fb3bfa0aff9",
            
63
      "last_modified": "2024-05-20T02:21:52.249352",
63
      "last_modified": "2024-05-20T02:21:52.249352",
            
64
      "metadata_modified": "2024-05-20T02:21:52.261786",
64
      "metadata_modified": "2024-05-20T02:21:52.261786",
            
65
      "mimetype": 
65
      "mimetype": 
            
66
"application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
66
"application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
            
67
      "mimetype_inner": null,
67
      "mimetype_inner": null,
            
68
      "name": "Data in 34 provinces",
68
      "name": "Data in 34 provinces",
            
69
      "package_id": "512dad28-0da1-446a-bceb-f5a22f5ee448",
69
      "package_id": "512dad28-0da1-446a-bceb-f5a22f5ee448",
            
70
      "position": 0,
70
      "position": 0,
            
71
      "resource_type": null,
71
      "resource_type": null,
            
72
      "size": 16237,
72
      "size": 16237,
            
73
      "state": "active",
73
      "state": "active",
            
74
      "url": 
74
      "url": 
            
75
-44eb-a836-7fb3bfa0aff9/download/avg_hourly_earnings_provinces_.xlsx",
75
-44eb-a836-7fb3bfa0aff9/download/avg_hourly_earnings_provinces_.xlsx",
            
76
      "url_type": "upload"
76
      "url_type": "upload"
            
77
    },
77
    },
            
78
    {
78
    {
            
79
      "cache_last_updated": null,
79
      "cache_last_updated": null,
            
80
      "cache_url": null,
80
      "cache_url": null,
            
n
81
      "created": "2024-05-20T02:14:30.352456",
n

            
82
      "datastore_active": false,

            
83
      "description": "###Definition:\r\n* Average hourly earnings of 

            
84
employees in Indonesia, aggregated by gender.\r\n###Unit of 

            
85
Measure:\r\n* Percent (%)\r\n###Year:\r\n* 2015, 2016, 2017, 2018, 

            
86
2019, 2020\r\n###Source:\r\n* BPS - SAKERNAS\r\n###SDG Indicator:\r\n* 

            
87
__8.5.2__ Unemployment rate, by sex, age and persons with 

            
88
disabilities\r\n###CPAP Outcome:\r\n* -\r\n###CPAP Output:\r\n* -",

            
89
      "format": "XLSX",

            
90
      "hash": "",

            
91
      "id": "270d4937-97c3-4ce5-9ce7-0be8eaae0161",

            
92
      "last_modified": "2024-05-20T02:23:54.553876",

            
93
      "metadata_modified": "2024-05-20T02:23:54.571827",

            
94
      "mimetype": 

            
95
"application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",

            
96
      "mimetype_inner": null,

            
97
      "name": "Data in Indonesia, by gender",

            
98
      "package_id": "512dad28-0da1-446a-bceb-f5a22f5ee448",

            
99
      "position": 1,

            
100
      "resource_type": null,

            
101
      "size": 10218,

            
102
      "state": "active",

            
103
      "url": 

            
104
7c3-4ce5-9ce7-0be8eaae0161/download/avg_hourly_earnings_gender_.xlsx",

            
105
      "url_type": "upload"

            
106
    },

            
107
    {

            
108
      "cache_last_updated": null,

            
109
      "cache_url": null,

            
110
      "created": "2024-05-20T02:20:42.277642",
81
      "created": "2024-05-20T02:20:42.277642",
            
111
      "datastore_active": false,
82
      "datastore_active": false,
            
112
      "description": "###Definition:\r\n* Average hourly earnings of 
83
      "description": "###Definition:\r\n* Average hourly earnings of 
            
113
employees in Indonesia, aggregated by geography.\r\n###Unit of 
84
employees in Indonesia, aggregated by geography.\r\n###Unit of 
            
114
Measure:\r\n* Percent (%)\r\n###Year:\r\n* 2015, 2016, 2017, 2018, 
85
Measure:\r\n* Percent (%)\r\n###Year:\r\n* 2015, 2016, 2017, 2018, 
            
115
2019, 2020\r\n###Source:\r\n* BPS - SAKERNAS\r\n###SDG Indicator:\r\n* 
86
2019, 2020\r\n###Source:\r\n* BPS - SAKERNAS\r\n###SDG Indicator:\r\n* 
            
116
__8.5.2__ Unemployment rate, by sex, age and persons with 
87
__8.5.2__ Unemployment rate, by sex, age and persons with 
            
117
disabilities\r\n###CPAP Outcome:\r\n* -\r\n###CPAP Output:\r\n* -",
88
disabilities\r\n###CPAP Outcome:\r\n* -\r\n###CPAP Output:\r\n* -",
            
118
      "format": "XLSX",
89
      "format": "XLSX",
            
119
      "hash": "",
90
      "hash": "",
            
120
      "id": "e31490ce-1560-45de-b5c3-4daab0c8c7d2",
91
      "id": "e31490ce-1560-45de-b5c3-4daab0c8c7d2",
            
121
      "last_modified": "2024-05-20T02:20:42.244149",
92
      "last_modified": "2024-05-20T02:20:42.244149",
            
122
      "metadata_modified": "2024-05-20T02:21:52.262033",
93
      "metadata_modified": "2024-05-20T02:21:52.262033",
            
123
      "mimetype": 
94
      "mimetype": 
            
124
"application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
95
"application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
            
125
      "mimetype_inner": null,
96
      "mimetype_inner": null,
            
126
      "name": "Data in Indonesia, by geography",
97
      "name": "Data in Indonesia, by geography",
            
127
      "package_id": "512dad28-0da1-446a-bceb-f5a22f5ee448",
98
      "package_id": "512dad28-0da1-446a-bceb-f5a22f5ee448",
            
n
128
      "position": 2,
n
99
      "position": 1,
            
129
      "resource_type": null,
100
      "resource_type": null,
            
130
      "size": 9080,
101
      "size": 9080,
            
131
      "state": "active",
102
      "state": "active",
            
132
      "url": 
103
      "url": 
            
133
0-45de-b5c3-4daab0c8c7d2/download/avg_hourly_earnings_geography.xlsx",
104
0-45de-b5c3-4daab0c8c7d2/download/avg_hourly_earnings_geography.xlsx",
            
134
      "url_type": "upload"
105
      "url_type": "upload"
            
135
    },
106
    },
            
136
    {
107
    {
            
137
      "cache_last_updated": null,
108
      "cache_last_updated": null,
            
138
      "cache_url": null,
109
      "cache_url": null,
            
139
      "created": "2024-05-20T02:41:55.782995",
110
      "created": "2024-05-20T02:41:55.782995",
            
140
      "datastore_active": false,
111
      "datastore_active": false,
            
141
      "description": "###Definition:\r\n* Average hourly earnings of 
112
      "description": "###Definition:\r\n* Average hourly earnings of 
            
142
employees in Indonesia, aggregated by education.\r\n###Unit of 
113
employees in Indonesia, aggregated by education.\r\n###Unit of 
            
143
Measure:\r\n* Percent (%)\r\n###Year:\r\n* 2015, 2016, 2017, 2018, 
114
Measure:\r\n* Percent (%)\r\n###Year:\r\n* 2015, 2016, 2017, 2018, 
            
144
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* 
            
145
__8.5.2__ Unemployment rate, by sex, age and persons with 
116
__8.5.2__ Unemployment rate, by sex, age and persons with 
            
146
disabilities\r\n###CPAP Outcome:\r\n* -\r\n###CPAP Output:\r\n* -",
117
disabilities\r\n###CPAP Outcome:\r\n* -\r\n###CPAP Output:\r\n* -",
            
147
      "format": "XLSX",
118
      "format": "XLSX",
            
148
      "hash": "",
119
      "hash": "",
            
149
      "id": "85299459-a4b3-4802-8bb6-06d0b700b2b1",
120
      "id": "85299459-a4b3-4802-8bb6-06d0b700b2b1",
            
150
      "last_modified": "2024-05-20T02:41:55.747430",
121
      "last_modified": "2024-05-20T02:41:55.747430",
            
151
      "metadata_modified": "2024-05-20T02:46:59.246351",
122
      "metadata_modified": "2024-05-20T02:46:59.246351",
            
152
      "mimetype": 
123
      "mimetype": 
            
153
"application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
124
"application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
            
154
      "mimetype_inner": null,
125
      "mimetype_inner": null,
            
155
      "name": "Data in Indonesia, by education",
126
      "name": "Data in Indonesia, by education",
            
156
      "package_id": "512dad28-0da1-446a-bceb-f5a22f5ee448",
127
      "package_id": "512dad28-0da1-446a-bceb-f5a22f5ee448",
            
n
157
      "position": 3,
n
128
      "position": 2,
            
158
      "resource_type": null,
129
      "resource_type": null,
            
159
      "size": 9844,
130
      "size": 9844,
            
160
      "state": "active",
131
      "state": "active",
            
161
      "url": 
132
      "url": 
            
162
3-4802-8bb6-06d0b700b2b1/download/avg_hourly_earnings_education.xlsx",
133
3-4802-8bb6-06d0b700b2b1/download/avg_hourly_earnings_education.xlsx",
            
163
      "url_type": "upload"
134
      "url_type": "upload"
            
164
    },
135
    },
            
165
    {
136
    {
            
166
      "cache_last_updated": null,
137
      "cache_last_updated": null,
            
167
      "cache_url": null,
138
      "cache_url": null,
            
168
      "created": "2024-05-20T02:46:59.259176",
139
      "created": "2024-05-20T02:46:59.259176",
            
169
      "datastore_active": false,
140
      "datastore_active": false,
            
170
      "description": "###Definition:\r\n* Average hourly earnings of 
141
      "description": "###Definition:\r\n* Average hourly earnings of 
            
171
employees in Indonesia, aggregated by age-range.\r\n###Unit of 
142
employees in Indonesia, aggregated by age-range.\r\n###Unit of 
            
172
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, 
            
173
2019, 2020\r\n###Source:\r\n* BPS - SAKERNAS\r\n###SDG Indicator:\r\n* 
144
2019, 2020\r\n###Source:\r\n* BPS - SAKERNAS\r\n###SDG Indicator:\r\n* 
            
174
__8.5.2__ Unemployment rate, by sex, age and persons with 
145
__8.5.2__ Unemployment rate, by sex, age and persons with 
            
175
disabilities\r\n###CPAP Outcome:\r\n* -\r\n###CPAP Output:\r\n* -",
146
disabilities\r\n###CPAP Outcome:\r\n* -\r\n###CPAP Output:\r\n* -",
            
176
      "format": "XLSX",
147
      "format": "XLSX",
            
177
      "hash": "",
148
      "hash": "",
            
178
      "id": "68d3e018-69b6-4263-8e1a-4909010164dd",
149
      "id": "68d3e018-69b6-4263-8e1a-4909010164dd",
            
179
      "last_modified": "2024-05-20T02:46:59.224089",
150
      "last_modified": "2024-05-20T02:46:59.224089",
            
n
180
      "metadata_modified": "2024-05-20T02:46:59.246570",
n
151
      "metadata_modified": "2024-11-07T04:35:53.211148",
            
181
      "mimetype": 
152
      "mimetype": 
            
182
"application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
153
"application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
            
183
      "mimetype_inner": null,
154
      "mimetype_inner": null,
            
184
      "name": "Data in Indonesia, by age-range",
155
      "name": "Data in Indonesia, by age-range",
            
185
      "package_id": "512dad28-0da1-446a-bceb-f5a22f5ee448",
156
      "package_id": "512dad28-0da1-446a-bceb-f5a22f5ee448",
            
t
186
      "position": 4,
t
157
      "position": 3,
            
187
      "resource_type": null,
158
      "resource_type": null,
            
188
      "size": 10198,
159
      "size": 10198,
            
189
      "state": "active",
160
      "state": "active",
            
190
      "url": 
161
      "url": 
            
191
6-4263-8e1a-4909010164dd/download/avg_hourly_earnings_age_range.xlsx",
162
6-4263-8e1a-4909010164dd/download/avg_hourly_earnings_age_range.xlsx",
            
192
      "url_type": "upload"
163
      "url_type": "upload"
            
193
    }
164
    }
            
194
  ],
165
  ],
            
195
  "state": "active",
166
  "state": "active",
            
196
  "tags": [
167
  "tags": [
            
197
    {
168
    {
            
198
      "display_name": "BPS",
169
      "display_name": "BPS",
            
199
      "id": "67c89d97-dd4c-4057-a69c-cde0e0076f85",
170
      "id": "67c89d97-dd4c-4057-a69c-cde0e0076f85",
            
200
      "name": "BPS",
171
      "name": "BPS",
            
201
      "state": "active",
172
      "state": "active",
            
202
      "vocabulary_id": null
173
      "vocabulary_id": null
            
203
    },
174
    },
            
204
    {
175
    {
            
205
      "display_name": "SDG",
176
      "display_name": "SDG",
            
206
      "id": "27a90a95-ff73-4dc3-8457-65160fc73eba",
177
      "id": "27a90a95-ff73-4dc3-8457-65160fc73eba",
            
207
      "name": "SDG",
178
      "name": "SDG",
            
208
      "state": "active",
179
      "state": "active",
            
209
      "vocabulary_id": null
180
      "vocabulary_id": null
            
210
    },
181
    },
            
211
    {
182
    {
            
212
      "display_name": "SDG 8",
183
      "display_name": "SDG 8",
            
213
      "id": "42860883-a2c2-4fb7-bb2f-954890147eab",
184
      "id": "42860883-a2c2-4fb7-bb2f-954890147eab",
            
214
      "name": "SDG 8",
185
      "name": "SDG 8",
            
215
      "state": "active",
186
      "state": "active",
            
216
      "vocabulary_id": null
187
      "vocabulary_id": null
            
217
    },
188
    },
            
218
    {
189
    {
            
219
      "display_name": "Social Policy",
190
      "display_name": "Social Policy",
            
220
      "id": "b3a4809b-434f-40a8-bfc2-edab398aaa52",
191
      "id": "b3a4809b-434f-40a8-bfc2-edab398aaa52",
            
221
      "name": "Social Policy",
192
      "name": "Social Policy",
            
222
      "state": "active",
193
      "state": "active",
            
223
      "vocabulary_id": null
194
      "vocabulary_id": null
            
224
    }
195
    }
            
225
  ],
196
  ],
            
226
  "title": "Average hourly earnings among working children age 10-17 
197
  "title": "Average hourly earnings among working children age 10-17 
            
227
years",
198
years",
            
228
  "type": "dataset",
199
  "type": "dataset",
            
229
  "url": "BPS - SAKERNAS (calculated by SMERU)",
200
  "url": "BPS - SAKERNAS (calculated by SMERU)",
            
230
  "version": ""
201
  "version": ""
            
231
}
202
}