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nikolabulnikolabul
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Merge pull request #115 from montestat/develop
update indicators and sdg version
2 parents 38f95e2 + b8073b2 commit ebf4645

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-531
lines changed

‎config_data.yml

+1-1
Original file line numberDiff line numberDiff line change
@@ -73,7 +73,7 @@ translations:
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# This pulls in translations from a Git repository.
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- class: TranslationInputSdgTranslations
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source: https://github.com/open-sdg/sdg-translations.git
76-
tag: 2.1.0-dev
76+
tag: 2.3.0
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# This pulls in translations from a local 'translations' folder.
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- class: TranslationInputYaml
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source: translations

‎data/indicator_10-b-1.csv

+21-10
Original file line numberDiff line numberDiff line change
@@ -1,11 +1,22 @@
11
Year,Units,Value
2-
2012,millions_usd,199.49
3-
2013,millions_usd,116.5
4-
2014,millions_usd,107.78
5-
2015,millions_usd,134.4
6-
2016,millions_usd,144.71
7-
2017,millions_usd,146.25
8-
2018,millions_usd,183.48
9-
2019,millions_usd,149.17
10-
2020,millions_usd,312.55
11-
2021,millions_usd,149.03
2+
2003,millions_usd,8.14
3+
2004,millions_usd,20.13
4+
2005,millions_usd,1.36
5+
2006,millions_usd,141.86
6+
2007,millions_usd,165.5
7+
2008,millions_usd,571.1328
8+
2009,millions_usd,383.6613
9+
2010,millions_usd,185.08047
10+
2011,millions_usd,14.88464
11+
2012,millions_usd,322.31362
12+
2013,millions_usd,292.21942
13+
2014,millions_usd,220.30354
14+
2015,millions_usd,434.49406
15+
2016,millions_usd,302.68665
16+
2017,millions_usd,429.63025
17+
2018,millions_usd,273.09552
18+
2019,millions_usd,218.89319
19+
2020,millions_usd,295.23465
20+
2021,millions_usd,1945.38645
21+
2022,millions_usd,156.60435
22+

‎data/indicator_14-1-1.csv

+13
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@@ -0,0 +1,13 @@
1+
Year,Units,Value
2+
2012,index,67.09
3+
2013,index,68.76
4+
2014,index,58.59
5+
2015,index,59.02
6+
2016,index,59.41
7+
2017,index,60.13
8+
2018,index,60.62
9+
2019,index,73.05
10+
2020,index,73.75
11+
2021,index,73.87
12+
2022,index,73.77
13+
2023,index,72.85

‎data/indicator_17-18-3.csv

+4
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@@ -8,3 +8,7 @@ Year,Units,Category,Value
88
2020,yes_no,national_stat_plan_strategy,1
99
2021,yes_no,national_stat_plan_strategy,1
1010
2022,yes_no,national_stat_plan_strategy,1
11+
2016,index,17_18_3_cat_2,56.93
12+
2017,index,17_18_3_cat_2,59.96
13+
2018,index,17_18_3_cat_2,64.74
14+
2019,index,17_18_3_cat_2,67.02

‎data/indicator_17-19-1.csv

+11
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@@ -0,0 +1,11 @@
1+
Year,Units,Value
2+
2011,usd,126665
3+
2012,usd,277773
4+
2013,usd,427015
5+
2014,usd,694180
6+
2015,usd,1450920
7+
2016,usd,1125050
8+
2017,usd,1199582
9+
2018,usd,1749905
10+
2019,usd,782817
11+
2020,usd,905564

‎data/indicator_17-3-1.csv

+23
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@@ -0,0 +1,23 @@
1+
Year,Units,Value
2+
2002,million_usd,71.89008
3+
2003,million_usd,49.43149
4+
2004,million_usd,65.37657
5+
2005,million_usd,500.61185
6+
2006,million_usd,622.00163
7+
2007,million_usd,934.44223
8+
2008,million_usd,960.42333
9+
2009,million_usd,1527.25942
10+
2010,million_usd,760.44077
11+
2011,million_usd,558.0527
12+
2012,million_usd,619.75295
13+
2013,million_usd,447.4746
14+
2014,million_usd,497.6552
15+
2015,million_usd,699.36536
16+
2016,million_usd,226.40964
17+
2017,million_usd,558.56576
18+
2018,million_usd,489.81482
19+
2019,million_usd,416.44721
20+
2020,million_usd,532.28453
21+
2021,million_usd,698.91957
22+
2022,million_usd,876.73479
23+
2023,million_usd,526.2454

‎data/indicator_3-7-2.csv

+46-25
Original file line numberDiff line numberDiff line change
@@ -1,25 +1,46 @@
1-
Year,Units,Location,Age,Value
2-
2018,per_1000_women,,,11
3-
2018,per_1000_women,Roma settlements,,161
4-
2010,per_1000_women,,aged 10-14 years,0.25
5-
2011,per_1000_women,,aged 10-14 years,0.25
6-
2012,per_1000_women,,aged 10-14 years,
7-
2013,per_1000_women,,aged 10-14 years,0.15
8-
2014,per_1000_women,,aged 10-14 years,0.16
9-
2015,per_1000_women,,aged 10-14 years,0.11
10-
2016,per_1000_women,,aged 10-14 years,0.16
11-
2017,per_1000_women,,aged 10-14 years,0.11
12-
2018,per_1000_women,,aged 10-14 years,
13-
2019,per_1000_women,,aged 10-14 years,0.11
14-
2020,per_1000_women,,aged 10-14 years,0.11
15-
2010,per_1000_women,,aged 15-19 years,16.8
16-
2011,per_1000_women,,aged 15-19 years,14.3
17-
2012,per_1000_women,,aged 15-19 years,13.2
18-
2013,per_1000_women,,aged 15-19 years,11.9
19-
2014,per_1000_women,,aged 15-19 years,10.8
20-
2015,per_1000_women,,aged 15-19 years,10.7
21-
2016,per_1000_women,,aged 15-19 years,9.8
22-
2017,per_1000_women,,aged 15-19 years,9.9
23-
2018,per_1000_women,,aged 15-19 years,9.6
24-
2019,per_1000_women,,aged 15-19 years,11.3
25-
2020,per_1000_women,,aged 15-19 years,9.4
1+
Year,Units,Age,Value
2+
2000,per_1000_women,aged 15-19 and 10-14 years,21.07
3+
2000,per_1000_women,aged 15-19 and 10-14 years,0
4+
2001,per_1000_women,aged 15-19 and 10-14 years,17.9
5+
2002,per_1000_women,aged 15-19 and 10-14 years,19.2
6+
2003,per_1000_women,aged 15-19 and 10-14 years,0
7+
2003,per_1000_women,aged 15-19 and 10-14 years,17.8
8+
2004,per_1000_women,aged 15-19 and 10-14 years,0.09
9+
2004,per_1000_women,aged 15-19 and 10-14 years,16.6
10+
2005,per_1000_women,aged 15-19 and 10-14 years,16.22
11+
2005,per_1000_women,aged 15-19 and 10-14 years,0.14
12+
2006,per_1000_women,aged 15-19 and 10-14 years,0
13+
2006,per_1000_women,aged 15-19 and 10-14 years,16.25
14+
2007,per_1000_women,aged 15-19 and 10-14 years,17.56
15+
2007,per_1000_women,aged 15-19 and 10-14 years,0.05
16+
2008,per_1000_women,aged 15-19 and 10-14 years,20.21
17+
2008,per_1000_women,aged 15-19 and 10-14 years,0.24
18+
2009,per_1000_women,aged 15-19 and 10-14 years,0.49
19+
2009,per_1000_women,aged 15-19 and 10-14 years,22.78
20+
2010,per_1000_women,aged 15-19 and 10-14 years,0.25
21+
2010,per_1000_women,aged 15-19 and 10-14 years,16.78
22+
2011,per_1000_women,aged 15-19 and 10-14 years,14.26
23+
2011,per_1000_women,aged 15-19 and 10-14 years,0.25
24+
2012,per_1000_women,aged 15-19 and 10-14 years,13.31
25+
2012,per_1000_women,aged 15-19 and 10-14 years,0
26+
2013,per_1000_women,aged 15-19 and 10-14 years,11.97
27+
2013,per_1000_women,aged 15-19 and 10-14 years,0.15
28+
2014,per_1000_women,aged 15-19 and 10-14 years,0.16
29+
2014,per_1000_women,aged 15-19 and 10-14 years,11.16
30+
2015,per_1000_women,aged 15-19 and 10-14 years,11.08
31+
2015,per_1000_women,aged 15-19 and 10-14 years,0.11
32+
2016,per_1000_women,aged 15-19 and 10-14 years,0.17
33+
2016,per_1000_women,aged 15-19 and 10-14 years,10.07
34+
2017,per_1000_women,aged 15-19 and 10-14 years,0.11
35+
2017,per_1000_women,aged 15-19 and 10-14 years,10.06
36+
2018,per_1000_women,aged 15-19 and 10-14 years,9.7
37+
2018,per_1000_women,aged 15-19 and 10-14 years,0
38+
2019,per_1000_women,aged 15-19 and 10-14 years,11.44
39+
2019,per_1000_women,aged 15-19 and 10-14 years,0.11
40+
2020,per_1000_women,aged 15-19 and 10-14 years,0.11
41+
2020,per_1000_women,aged 15-19 and 10-14 years,9.47
42+
2021,per_1000_women,aged 15-19 and 10-14 years,0.11
43+
2021,per_1000_women,aged 15-19 and 10-14 years,9.55
44+
2022,per_1000_women,aged 15-19 and 10-14 years,8.57
45+
2022,per_1000_women,aged 15-19 and 10-14 years,0
46+

‎data/indicator_3-8-1-a.csv

-3
This file was deleted.

‎data/indicator_3-8-1.csv

+8
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@@ -0,0 +1,8 @@
1+
Year,Units,Value
2+
2000,index,60
3+
2005,index,64
4+
2010,index,67
5+
2015,index,69
6+
2017,index,71
7+
2019,index,72
8+
2021,index,72

‎data/indicator_3-8-2-a.csv ‎data/indicator_3-8-2.csv

File renamed without changes.

‎data/indicator_3-9-3.csv

+16-4
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@@ -1,4 +1,16 @@
1-
Year,Units,Value
2-
2010,per_1000_population,0.6
3-
2015,per_1000_population,0.6
4-
2019,per_1000_population,0.6
1+
Year,Units,Sex,Value
2+
2000,per_1000_population,BOTHSEX,0.9
3+
2000,per_1000_population,FEMALE,0.6
4+
2000,per_1000_population,MALE,1.2
5+
2005,per_1000_population,FEMALE,0.4
6+
2005,per_1000_population,MALE,1
7+
2005,per_1000_population,BOTHSEX,0.7
8+
2010,per_1000_population,FEMALE,0.4
9+
2010,per_1000_population,MALE,0.8
10+
2010,per_1000_population,BOTHSEX,0.6
11+
2015,per_1000_population,BOTHSEX,0.6
12+
2015,per_1000_population,FEMALE,0.4
13+
2015,per_1000_population,MALE,0.8
14+
2019,per_1000_population,BOTHSEX,0.6
15+
2019,per_1000_population,FEMALE,0.4
16+
2019,per_1000_population,MALE,0.8

‎data/indicator_3-a-1.csv

+20-2
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@@ -1,2 +1,20 @@
1-
Year,Units,Value
2-
2017,%,35.4
1+
Year,Units,Sex,Value
2+
2000,%,BOTHSEX,38.6
3+
2000,%,FEMALE,36.4
4+
2000,%,MALE,40.9
5+
2005,%,MALE,38
6+
2005,%,FEMALE,35.5
7+
2005,%,BOTHSEX,36.7
8+
2010,%,MALE,35.7
9+
2010,%,FEMALE,34.7
10+
2010,%,BOTHSEX,35.2
11+
2015,%,MALE,33.6
12+
2015,%,FEMALE,33.9
13+
2015,%,BOTHSEX,33.7
14+
2020,%,MALE,31.5
15+
2020,%,BOTHSEX,32.4
16+
2020,%,FEMALE,33.2
17+
2022,%,BOTHSEX,32
18+
2022,%,FEMALE,33.2
19+
2022,%,MALE,30.9
20+

‎data/indicator_4-2-2.csv

+31-1
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@@ -1,3 +1,33 @@
1-
Year,Units,Location,Value
1+
Year,Units,Location,Sex,Value
22
2018,%,,67.0
33
2018,%,Roma settlements,36.4
4+
2003,%,,Bothsex,66.77273
5+
2005,%,,Bothsex,71.85972
6+
2006,%,,Bothsex,89.66021
7+
2007,%,,Bothsex,89.24952
8+
2008,%,,Bothsex,100
9+
2015,%,,Female,61.02342
10+
2015,%,,Bothsex,63.65526
11+
2015,%,,Male,66.08655
12+
2016,%,,Male,63.18468
13+
2016,%,,Female,58.52359
14+
2016,%,,Bothsex,60.90729
15+
2017,%,,Bothsex,71.57668
16+
2017,%,,Female,71.77828
17+
2017,%,,Male,71.39169
18+
2018,%,,Male,76.19764
19+
2018,%,,Female,72.72479
20+
2018,%,,Bothsex,74.5357
21+
2019,%,,Bothsex,74.42893
22+
2019,%,,Female,73.70713
23+
2019,%,,Male,75.09406
24+
2020,%,,Male,80.12997
25+
2020,%,,Female,78.84615
26+
2020,%,,Bothsex,79.51384
27+
2021,%,,Bothsex,76.54288
28+
2021,%,,Female,76.43979
29+
2021,%,,Male,76.63789
30+
2022,%,,Male,75.78105
31+
2022,%,,Female,80.07031
32+
2022,%,,Bothsex,77.84128
33+

‎data/indicator_4-5-1.csv

+8
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@@ -11,3 +11,11 @@ Year,Units,Location,Age,Category,Value
1111
2018,total,Roma settlements,lower_high_school,parity_index,0.86
1212
2018,total,Roma settlements,lower_high_school,wealth,0.09
1313
2018,total,Roma settlements,lower_high_school,territory,0.58
14+
2015,ratio,,,,0.92339
15+
2016,ratio,,,,0.92623
16+
2017,ratio,,,,1.00539
17+
2018,ratio,,,,0.95442
18+
2019,ratio,,,,0.98153
19+
2020,ratio,,,,0.98398
20+
2021,ratio,,,,0.99742
21+
2022,ratio,,,,1.05357

‎data/indicator_5-5-1.csv

+3-1
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@@ -1,4 +1,5 @@
11
Year,Units,Category,Value
2+
2007,%,5_5_1_cat_1,8.64
23
2008,%,5_5_1_cat_1,11.1
34
2009,%,5_5_1_cat_1,11.1
45
2010,%,5_5_1_cat_1,11.1
@@ -15,4 +16,5 @@ Year,Units,Category,Value
1516
2021,%,5_5_1_cat_1,24.7
1617
2022,%,5_5_1_cat_1,27.2
1718
2023,%,5_5_1_cat_1,28.4
18-
2017,%,5_5_1_cat_2,27.8
19+
2023,%,5_5_1_cat_1,27.16
20+
2017,%,5_5_1_cat_2,27.8

‎data/indicator_6-2-1.csv

+52
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@@ -7,3 +7,55 @@ Year,Units,Location,Category,Value
77
2018,%,Roma settlements,sanitation_cat_3,83.9
88
2018,%,,sanitation_cat_4,12.8
99
2018,%,Roma settlements,sanitation_cat_4,7.9
10+
2006,%,URBAN,,19.61326
11+
2006,%,ALLAREA,,23.94933
12+
2006,%,RURAL,,31.27029
13+
2007,%,ALLAREA,,26.26775
14+
2007,%,URBAN,,22.71833
15+
2007,%,RURAL,,32.34753
16+
2008,%,ALLAREA,,28.55996
17+
2008,%,URBAN,,25.78911
18+
2008,%,RURAL,,33.37529
19+
2009,%,ALLAREA,,30.826
20+
2009,%,RURAL,,34.35324
21+
2009,%,URBAN,,28.82535
22+
2010,%,ALLAREA,,33.06549
23+
2010,%,RURAL,,35.28103
24+
2010,%,URBAN,,31.8268
25+
2011,%,ALLAREA,,35.27822
26+
2011,%,URBAN,,34.79323
27+
2011,%,RURAL,,36.15833
28+
2012,%,RURAL,,36.9848
29+
2012,%,URBAN,,37.72438
30+
2012,%,ALLAREA,,37.46407
31+
2013,%,ALLAREA,,39.62295
32+
2013,%,URBAN,,40.62
33+
2013,%,RURAL,,37.7601
34+
2014,%,ALLAREA,,41.7548
35+
2014,%,URBAN,,43.47985
36+
2014,%,RURAL,,38.4839
37+
2015,%,ALLAREA,,43.85956
38+
2015,%,URBAN,,46.30369
39+
2015,%,RURAL,,39.15586
40+
2016,%,URBAN,,49.09126
41+
2016,%,RURAL,,39.77563
42+
2016,%,ALLAREA,,45.93708
43+
2017,%,ALLAREA,,47.98737
44+
2017,%,URBAN,,51.84233
45+
2017,%,RURAL,,40.3429
46+
2018,%,ALLAREA,,50.00739
47+
2018,%,RURAL,,40.8573
48+
2018,%,URBAN,,54.55237
49+
2019,%,RURAL,,41.31852
50+
2019,%,URBAN,,56.82465
51+
2019,%,ALLAREA,,51.73089
52+
2020,%,ALLAREA,,53.4151
53+
2020,%,RURAL,,41.70282
54+
2020,%,URBAN,,59.05743
55+
2021,%,RURAL,,42.377
56+
2021,%,ALLAREA,,55.40115
57+
2021,%,URBAN,,61.57929
58+
2022,%,URBAN,,64.10116
59+
2022,%,RURAL,,43.05118
60+
2022,%,ALLAREA,,57.39968
61+

‎data/indicator_6-3-1.csv

+2
Original file line numberDiff line numberDiff line change
@@ -2,3 +2,5 @@ Year,Units,Category,Value
22
2017,%,water_waste_cat_1,76.2
33
2017,%,water_waste_cat_2,56.2
44
2017,%,water_waste_cat_total,74.4
5+
2020,%,water_waste_cat_3,45.0727
6+
2022,%,water_waste_cat_3,55.27942

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