From d735c2abfca9624225f93a3f42a15d409723ca8f Mon Sep 17 00:00:00 2001 From: pbhatt17 Date: Tue, 2 Aug 2022 11:38:46 -0400 Subject: [PATCH 1/8] updated country, good xml and about and methodology file --- Child Labor/aboutthisapp.html | 10 ++++---- Child Labor/countries_2016.xml | 43 +++------------------------------- Child Labor/goods_2016.xml | 2 +- Child Labor/methodology.html | 10 ++++---- 4 files changed, 15 insertions(+), 50 deletions(-) diff --git a/Child Labor/aboutthisapp.html b/Child Labor/aboutthisapp.html index d1c59ea..9a99a3a 100755 --- a/Child Labor/aboutthisapp.html +++ b/Child Labor/aboutthisapp.html @@ -19,8 +19,9 @@

What is this app?

  • Review laws, ratifications, and enforcement efforts;
  • -
  • See what governments, businesses, and consumers can to do end child labor; and
  • -
  • Browse USDOL’s projects to combat child labor and forced labor.
  • +
  • See what governments, businesses, and consumers can do end child labor;
  • +
  • Browse USDOL’s projects to combat child labor and forced labor;
  • +
  • New this year, explore visualizations of USDOL’s child labor and forced labor data!
  • @@ -34,9 +35,10 @@

    How can I use this app?

    What’s new in the app?

    -

    Sweat & Toil is now in its seventh year, and contains the latest information from the 2020 reporting period. It also includes new information related to ILAB’s projects to combat child labor and forced labor in each country. +

    Sweat & Toil is now in its eighth year, and contains the latest information from the 2021 reporting period. It also includes updated data for the List of Goods Produced by Child Labor or Forced Labor and List of Products Produced by Forced or Indentured Child Labor. +

    +

    Sweat & Toil also includes updated information related to ILAB’s projects in each country. The app now also contains new visualizations of ILAB’s global child labor and forced labor data.

    -

    What’s in the Legal Standards Section?

    The Legal Standards Section contains information on whether national laws meet internationally defined standards to protect children from child labor and its worst forms. This includes minimum age laws and those relating to working conditions, the worst forms of child labor, and education. It also includes comprehensive data on military recruitment laws.

    diff --git a/Child Labor/countries_2016.xml b/Child Labor/countries_2016.xml index 59e6120..77ca5a6 100644 --- a/Child Labor/countries_2016.xml +++ b/Child Labor/countries_2016.xml @@ -4319,7 +4319,7 @@ In 2021, Brazil made moderate advancement in efforts to eliminate the worst forms of child labor. The government published two updated versions of the national "Dirty List" containing information on employers that the Ministry of Labor and Welfare found to be using slave labor, including that of children. It also established the Intersectoral Commission to Combat Violence Against Children and Adolescents, with the aim of consolidating public policies relevant to addressing all types of violence against children and adolescents. Furthermore, the government updated the Federal Pact for the Eradication of Forced Labor, with the objective of promoting, improving, and maximizing communication between entities involved in addressing slave labor and extending participation to all 5,000 municipalities in the country. Lastly, the Ministry of Citizenship's Monitoring System of the Child Labor Eradication Program, which tracks actions taken by state and municipal governments in support of the National Program to Eradicate Child Labor, registered 12,756 activities carried out nationwide to address child labor. However, children in Brazil are subjected to the worst forms of child labor, including in commercial sexual exploitation, sometimes as a result of human trafficking. Children also engage in child labor in agriculture, including in the production of coffee. Although Brazil made meaningful efforts in all relevant areas during the reporting period, prohibitions against child trafficking require the use of threats, violence, coercion, fraud, or abuse to be established for the crime of child trafficking and, therefore, do not meet international labor standards. The reported number of labor inspectors is likely not sufficient to provide adequate coverage of the workforce, and local governments lack the capacity to fully implement and monitor the National Program to Eradicate Child Labor and other social protection programs. - Acai + Açaí Yes No No @@ -4899,10 +4899,6 @@ Yes - - Brunei - https://www.dol.gov/agencies/ilab/resources/reports/child-labor/brunei - Burkina Faso https://www.dol.gov/agencies/ilab/resources/reports/child-labor/burkina-faso @@ -7176,8 +7172,6 @@ China https://www.dol.gov/agencies/ilab/resources/reports/child-labor/china Indo-Pacific - Not covered in Child Labor Report. - Artificial Flowers @@ -15352,7 +15346,6 @@ Iran https://www.dol.gov/agencies/ilab/resources/reports/child-labor/iran Middle East and North Africa - Not covered in Child Labor Report. Bricks @@ -17449,10 +17442,6 @@ Yes - - Laos - https://www.dol.gov/agencies/ilab/resources/reports/child-labor/laos - Lebanon https://www.dol.gov/agencies/ilab/resources/reports/child-labor/lebanon @@ -18682,7 +18671,6 @@ Malaysia https://www.dol.gov/agencies/ilab/resources/reports/child-labor/malaysia Indo-Pacific - Not covered in Child Labor Report. Electronics @@ -23040,7 +23028,6 @@ North Korea https://www.dol.gov/agencies/ilab/resources/reports/child-labor/north-korea Indo-Pacific - Not covered in Child Labor Report. Bricks @@ -26363,7 +26350,6 @@ Russia https://www.dol.gov/agencies/ilab/resources/reports/child-labor/russia Indo-Pacific - Not covered in Child Labor Report. Bricks @@ -28367,10 +28353,6 @@ - - Singapore - https://www.dol.gov/agencies/ilab/resources/reports/child-labor/singapore - Solomon Islands https://www.dol.gov/agencies/ilab/resources/reports/child-labor/solomon-islands @@ -29738,7 +29720,6 @@ Sudan https://www.dol.gov/agencies/ilab/resources/reports/child-labor/sudan Sub-Saharan Africa - Not covered in Child Labor Report. Gold @@ -30183,7 +30164,7 @@ Taiwan https://www.dol.gov/agencies/ilab/resources/reports/child-labor/taiwan Indo-Pacific - Not covered in Child Labor Report. + Fish @@ -30197,7 +30178,6 @@ Tajikistan https://www.dol.gov/agencies/ilab/resources/reports/child-labor/tajikistan Indo-Pacific - Not covered in Child Labor Report. Cotton @@ -32263,7 +32243,7 @@ Turkey https://www.dol.gov/agencies/ilab/resources/reports/child-labor/turkey Middle East and North Africa - Not covered in Child Labor Report. + Citrus Fruits @@ -32349,7 +32329,6 @@ Turkmenistan https://www.dol.gov/agencies/ilab/resources/reports/child-labor/turkmenistan Indo-Pacific - Not covered in Child Labor Report. Cotton @@ -33173,20 +33152,6 @@ - - Uruguay - https://www.dol.gov/agencies/ilab/resources/reports/child-labor/uruguay - - - Building a Generation of Safe and Healthy Workers: SafeYouth@Work - https://www.dol.gov/agencies/ilab/building-generation-safe-and-healthy-workers-safeyouthwork - - - Enhancing National Capacity in Child Labor Data Collection, Analysis and Dissemination Through Technical Assistance to Surveys, Research and Training - https://www.dol.gov/sites/dolgov/files/ILAB/pdf_override/SIMPOC_EnhancingNationalCapacity_FY06_0.pdf - - - Uzbekistan https://www.dol.gov/agencies/ilab/resources/reports/child-labor/uzbekistan @@ -33632,7 +33597,6 @@ Venezuela https://www.dol.gov/agencies/ilab/resources/reports/child-labor/venezuela Latin America and the Caribbean - Not covered in Child Labor Report. Gold @@ -33646,7 +33610,6 @@ Vietnam https://www.dol.gov/agencies/ilab/resources/reports/child-labor/vietnam Indo-Pacific - Not covered in Child Labor Report. Bricks diff --git a/Child Labor/goods_2016.xml b/Child Labor/goods_2016.xml index d365cbb..4bada3e 100644 --- a/Child Labor/goods_2016.xml +++ b/Child Labor/goods_2016.xml @@ -1,6 +1,6 @@ - Acai + Açaí Agriculture diff --git a/Child Labor/methodology.html b/Child Labor/methodology.html index 4335f66..409bd9f 100755 --- a/Child Labor/methodology.html +++ b/Child Labor/methodology.html @@ -10,7 +10,7 @@

    Methodology

    -

    The U.S. Department of Labor’s (USDOL) Bureau of International Labor Affairs (ILAB) has been working to combat child labor, forced labor, and human trafficking since 1993. We carry out research, policy engagement, and technical cooperation to advance the elimination of these human rights abuses. ILAB produces reports on the incidence and nature of child labor and forced labor and efforts underway to address these problems. We assist in the development and implementation of U.S. government policy and also engage strategically with governments, business, labor, and civil society groups to implement models that work to reduce exploitive labor practices.

    +

    The U.S. Department of Labor’s (USDOL) Bureau of International Labor Affairs (ILAB) has been working to combat child labor, forced labor, and human trafficking since 1993. We carry out research, policy engagement, and technical cooperation to advance the elimination of these human rights abuses. ILAB produces reports on the incidence and nature of child labor and forced labor and efforts underway to address these problems. We assist in the development and implementation of U.S. government policy and also engage strategically with governments, business, labor, and civil society groups to implement models that work to reduce exploitative labor practices.

    Data and research in this app is taken from three flagship reports that ILAB publishes on international child labor and forced labor. These reports are the Findings on the Worst Forms of Child Labor; the List of Goods Produced by Child Labor or Forced Labor; and the List of Products Produced by Forced or Indentured Child Labor. Each of these reports has a distinct mandate and focus, but taken collectively, they document the current situation of child labor, forced labor, and forced child labor around the world and serve as valuable resources for research, advocacy, government action, and corporate responsibility.

    @@ -21,12 +21,12 @@

    List of Goods Produced by Child Labor or Forced Labor

    -

    The List of Goods Produced by Child Labor or Forced Labor, mandated by the Trafficking Victims Protection Reauthorization Act (TVPRA) of 2005, focuses on both children under 18 and adults, and includes 156 goods and 77 source countries that ILAB has reason to believe are produced by child labor or forced labor in violation of international standards. The List of Goods is intended to raise public awareness about child labor and forced labor around the world and to promote efforts to address them. A starting point for action, the List of Goods creates opportunities for ILAB to engage and assist foreign governments. It is also a valuable resource for researchers, advocacy organizations, and companies wishing to carry out risk assessments and engage in due diligence on labor rights in their supply chains.

    +

    The List of Goods Produced by Child Labor or Forced Labor, mandated by the Trafficking Victims Protection Reauthorization Act (TVPRA) of 2005, focuses on both children under 18 and adults, and includes 158 goods and 77 source countries and areas that ILAB has reason to believe are produced by child labor or forced labor in violation of international standards. ILAB’s mandate also requires the TVPRA List to include, to the extent practicable, goods that are produced with inputs that are produced with forced labor or child labor. To this end, the 2022 edition of the List of Goods includes ten goods from supply chain tracing that are produced in two countries. The List of Goods is intended to raise public awareness about child labor and forced labor around the world and to promote efforts to address them. A starting point for action, the List of Goods creates opportunities for ILAB to engage and assist foreign governments. It is also a valuable resource for researchers, advocacy organizations, and companies wishing to carry out risk assessments and engage in due diligence on labor rights in their supply chains.

    -

    ILAB used similar data collection methods to prepare the List of Goods as the Findings on the Worst Forms of Child Labor. ILAB used the following five criteria to determine whether there was “reason to believe” a particular good was being produced using child or forced labor in violation of international standards: nature, date, and source of information; extent of corroboration; and significant incidence of child labor or forced labor. For each good that was reviewed, ILAB evaluated each data source against each of the five criteria. ILAB researchers applied the criteria consistently across goods and countries so that ultimate findings of “reason to believe” are consistent worldwide.

    +

    ILAB used similar data collection methods to prepare the List of Goods as the Findings on the Worst Forms of Child Labor. ILAB used the following five criteria to determine whether there was “reason to believe” a particular good was being produced using child or forced labor in violation of international standards: nature, date, and source of information; extent of corroboration; and significant incidence of child labor or forced labor. For each good that was reviewed, ILAB evaluated each data source against each of the five criteria. In addition, for goods produced with inputs produced with child labor or forced labor, ILAB also analyzed evidence on production processes and supply chains. ILAB researchers applied the criteria consistently across goods and countries so that ultimate findings of “reason to believe” are consistent worldwide.

    -

    When ILAB found reason to believe that child labor or forced labor was used in the production of a particular good, prior to adding that good to the List of Goods, ILAB also considered evidence of government, industry, or third-party initiatives to combat the problem. This included evidence about ongoing initiatives brought to our attention through public submissions. If ILAB determined that the problem of child labor or forced labor persisted despite existing efforts to address the issue, the good was still added to the List of Goods. For more information, see the Research Methodology section in the full List of Goods.

    +

    When ILAB found reason to believe that child labor or forced labor was used in the production of a particular good or in the production of inputs to a downstream good, prior to adding that good to the List of Goods, ILAB also considered evidence of government, industry, or third-party initiatives to combat the problem. This included evidence about ongoing initiatives brought to our attention through public submissions. If ILAB determined that the problem of child labor or forced labor persisted despite existing efforts to address the issue, the good was added to the List of Goods. For more information, see the Research Methodology section in the full List of Goods.

    List of Products Produced by Forced or Indentured Child Labor

    -

    The List of Products Produced by Forced or Indentured Child Labor, mandated by Executive Order (EO) 13126 “Prohibition of Acquisition of Products Produced by Forced or Indentured Child Labor,” is maintained by ILAB, in cooperation and consultation with the U.S. Department of Homeland Security and the U.S. Department of State. It contains a list of products identified by their country of origin that the three Departments have a reasonable basis to believe might have been mined, produced, or manufactured by forced or indentured child labor. The List of Products contains information on 35 products from 25 countries. This list is intended to ensure that U.S. federal agencies do not procure goods made by forced or indentured child labor. Under Federal procurement regulations, federal contractors who supply products on the List of Products must certify that they have made a good faith effort to determine whether forced or indentured child labor was used to produce the items supplied. ILAB develops the List of Products using criteria and procedures established in its "Procedural Guidelines for the Maintenance of the List of Products Requiring Federal Contractor Certification as to Forced or Indentured Child Labor."

    +

    The List of Products Produced by Forced or Indentured Child Labor, mandated by Executive Order (EO) 13126 “Prohibition of Acquisition of Products Produced by Forced or Indentured Child Labor,” is maintained by ILAB, in cooperation and consultation with the U.S. Department of Homeland Security and the U.S. Department of State. It contains a list of products identified by their country of origin that the three Departments have a reasonable basis to believe might have been mined, produced, or manufactured by forced or indentured child labor. The List of Products contains information on 34 products from 26 countries. This list is intended to ensure that U.S. federal agencies do not procure goods made by forced or indentured child labor. Under Federal procurement regulations, federal contractors who supply products on the List of Products must certify that they have made a good faith effort to determine whether forced or indentured child labor was used to produce the items supplied. ILAB develops the List of Products using criteria and procedures established in its "Procedural Guidelines for the Maintenance of the List of Products Requiring Federal Contractor Certification as to Forced or Indentured Child Labor."

    From 06f61fdee825eb838e6e539b9e5363e67f040b0a Mon Sep 17 00:00:00 2001 From: pbhatt17 Date: Thu, 4 Aug 2022 12:59:32 -0400 Subject: [PATCH 2/8] updated country and good xml with new tag for derived goods --- Child Labor/countries_2016.xml | 958 ++++++++++++++++++++++++++++++++- Child Labor/goods_2016.xml | 952 +++++++++++++++++++++++++++++++- 2 files changed, 1881 insertions(+), 29 deletions(-) diff --git a/Child Labor/countries_2016.xml b/Child Labor/countries_2016.xml index 77ca5a6..2b5c189 100644 --- a/Child Labor/countries_2016.xml +++ b/Child Labor/countries_2016.xml @@ -12,30 +12,40 @@ Yes Yes Yes + No + No
    Carpets Yes No No + No + No Coal Yes No No + No + No Poppies Yes No No + No + No Salt Yes No No + No + No
    @@ -675,6 +685,8 @@ Yes Yes No + No + No
    @@ -1055,66 +1067,88 @@ Yes No No + No + No
    Bricks Yes No No + No + No Cotton Yes No No + No + No Garlic Yes No No + No + No Garments Yes Yes Yes + No + No Grapes Yes No No + No + No Olives Yes No No + No + No Strawberries Yes No No + No + No Tobacco Yes No No + No + No Tomatoes Yes No No + No + No Yerba Mate (stimulant plant) Yes No No + No + No
    @@ -1565,6 +1599,8 @@ Yes No No + No + No
    @@ -1785,90 +1821,120 @@ Yes No No + No + No Bricks Yes No No + No + No Dried Fish Yes Yes Yes + No + No Footwear Yes No No + No + No Furniture (steel) Yes No No + No + No Garments Yes Yes No + No + No Glass Yes No No + No + No Leather Yes No No + No + No Matches Yes No No + No + No Poultry Yes No No + No + No Salt Yes No No + No + No Shrimp Yes No No + No + No Soap Yes No No + No + No Textiles Yes No No + No + No Jute (textiles) Yes No No + No + No @@ -2137,18 +2203,24 @@ Yes No No + No + No Citrus Fruits Yes No No + No + No Sugarcane Yes No No + No + No @@ -2380,12 +2452,16 @@ Yes Yes Yes + No + No Granite (crushed) Yes No No + No + No @@ -2820,60 +2896,80 @@ Yes Yes Yes + No + No Bricks Yes No No + No + No Cattle No Yes No + No + No Corn Yes Yes No + No + No Gold Yes No No + No + No Peanuts No Yes No + No + No Silver Yes No No + No + No Sugarcane Yes Yes Yes + No + No Tin Yes No No + No + No Zinc Yes No No + No + No @@ -4323,150 +4419,200 @@ Yes No No + No + No Bananas Yes No No + No + No Beef Yes No No + No + No Bricks Yes No No + No + No Cashews Yes No No + No + No Cattle Yes Yes No + No + No Ceramics Yes No No + No + No Charcoal Yes Yes No + No + No Cocoa Yes No No + No + No Coffee Yes Yes No + No + No Corn Yes No No + No + No Cotton Yes No No + No + No Fish Yes No No + No + No Footwear Yes No No + No + No Garments No Yes No + No + No Hogs Yes No No + No + No Manioc/Cassava Yes No No + No + No Pineapples Yes No No + No + No Poultry Yes No No + No + No Rice Yes No No + No + No Sheep Yes No No + No + No Sisal Yes No No + No + No Sugarcane Yes Yes No + No + No Timber No Yes No + No + No Tobacco Yes No No + No + No @@ -4912,18 +5058,24 @@ Yes Yes Yes + No + No Gold Yes Yes Yes + No + No Granite Yes No No + No + No @@ -5159,84 +5311,112 @@ Yes Yes Yes + No + No Beans (green, soy, yellow) Yes Yes Yes + No + No Bricks Yes Yes Yes + No + No Garments Yes No No + No + No Jade Yes Yes No + No + No Palm Thatch No Yes No + No + No Rice Yes Yes Yes + No + No Rubber Yes Yes Yes + No + No Rubies Yes Yes No + No + No Sesame No Yes No + No + No Shrimp No Yes No + No + No Sugarcane Yes Yes Yes + No + No Sunflowers No Yes No + No + No Teak Yes Yes Yes + No + No @@ -5932,78 +6112,104 @@ Yes No No + No + No Bovines Yes No No + No + No Bricks Yes Yes No + No + No Fish Yes No No + No + No Manioc/Cassava Yes No No + No + No Meat Yes No No + No + No Rubber Yes No No + No + No Salt Yes No No + No + No Shrimp Yes No No + No + No Sugarcane Yes No No + No + No Textiles Yes No No + No + No Timber Yes No No + No + No Tobacco Yes No No + No + No @@ -6283,12 +6489,16 @@ Yes No No + No + No Gold Yes No No + No + No @@ -6538,6 +6748,8 @@ Yes No No + No + No @@ -6766,6 +6978,8 @@ Yes No No + No + No @@ -7178,138 +7392,184 @@ No Yes No + No + No Bricks Yes Yes Yes + No + No Christmas Decorations No Yes No + No + No Coal No Yes No + No + No Cotton Yes Yes Yes + No + No Electronics Yes Yes Yes + No + No Fireworks Yes Yes No + No + No Fish No Yes No + No + No Footwear No Yes No + No + No Garments No Yes No + No + No Gloves No Yes No + No + No Hair Products No Yes No + No + No Nails No Yes No + No + No Polysilicon No Yes No + No + No Textiles Yes Yes No + No + No Thread/Yarn No Yes No + No + No Tomato Products No Yes No + No + No Toys Yes Yes Yes + No + No Ingots No No No + Yes + China Lithium No No No + Yes + Congo, Democratic Republic of the Solar Cells No No No + Yes + China Solar Modules No No No + Yes + China Wafers No No No + Yes + China @@ -7660,60 +7920,80 @@ Yes No No + No + No Coal Yes No No + No + No Coca (stimulant plant) Yes Yes Yes + No + No Coffee Yes No No + No + No Emeralds Yes No No + No + No Fruit (Pome and Stone) Yes No No + No + No Gold Yes No No + No + No Grapes Yes No No + No + No Pornography Yes No No + No + No Sugarcane Yes No No + No + No @@ -8182,42 +8462,56 @@ Yes No No + No + No Copper Yes No No + No + No Diamonds Yes No No + No + No Gold Yes Yes Yes + No + No Tantalum ore (coltan) Yes Yes Yes + No + No Tin ore (cassiterite) Yes Yes Yes + No + No Tungsten ore (wolframite) Yes Yes Yes + No + No @@ -8874,12 +9168,16 @@ Yes No No + No + No Coffee Yes No No + No + No @@ -9113,12 +9411,16 @@ Yes Yes Yes + No + No Coffee Yes Yes Yes + No + No @@ -9759,30 +10061,40 @@ Yes No No + No + No Coffee Yes No No + No + No Rice Yes No No + No + No Sugarcane Yes Yes No + No + No Tomatoes Yes No No + No + No @@ -10075,48 +10387,64 @@ Yes No No + No + No Bovines Yes No No + No + No Bricks Yes No No + No + No Flowers Yes No No + No + No Gold Yes No No + No + No Hogs Yes No No + No + No Poultry Yes No No + No + No Rice Yes No No + No + No @@ -10373,18 +10701,24 @@ Yes No No + No + No Cotton Yes No No + No + No Stones (limestone) Yes No No + No + No @@ -10599,42 +10933,56 @@ Yes No No + No + No Cattle Yes No No + No + No Cereal Grains Yes No No + No + No Coffee Yes No No + No + No Fireworks Yes No No + No + No Shellfish Yes No No + No + No Sugarcane Yes No No + No + No @@ -11115,6 +11463,8 @@ Yes No No + No + No @@ -11345,24 +11695,32 @@ Yes No No + No + No Gold Yes No No + No + No Khat (stimulant plant) Yes No No + No + No Textiles (hand-woven) Yes Yes Yes + No + No @@ -12574,42 +12932,56 @@ Yes No No + No + No Cocoa Yes No No + No + No Fish Yes Yes Yes + No + No Gold Yes No No + No + No Rice Yes No No + No + No Textiles Yes No No + No + No Tilapia (fish) Yes Yes Yes + No + No @@ -13099,36 +13471,48 @@ Yes No No + No + No Coffee Yes No No + No + No Corn Yes No No + No + No Fireworks Yes No No + No + No Gravel (crushed stones) Yes No No + No + No Sugarcane Yes No No + No + No @@ -13410,7 +13794,7 @@ https://www.dol.gov/agencies/ilab/resources/reports/child-labor/guinea Sub-Saharan Africa No - Moderate Advancement + Moderate Advancement In 2021, Guinea made moderate advancement in efforts to eliminate the worst forms of child labor. For the first time, it provided a dedicated budget for the National Committee to Combat Trafficking in Persons and Similar Practices and set up a national hotline to report violations, including those related to labor and trafficking in persons. The government also issued an Emergency Action Plan, as a supplement to the 2020–2022 National Action Plan for Trafficking in Persons, to address the 11 priority recommendations highlighted in the 2021 U.S. Department of State Trafficking in Persons Report. However, children in Guinea are subjected to the worst forms of child labor, including in artisanal mining, sometimes as a result of human trafficking, and in forced begging. The government lacks a coordinating mechanism and national policy to address all relevant worst forms of child labor. Laws related to the minimum age for work also do not meet international standards because they do not include children working outside of a formal employment relationship and children who are self-employed. In addition, the government does not implement sufficient social programs to address the extent of the child labor problem. On September 5th, the military launched a coup, seized control of the state, and dissolved the Constitution. The coup and the resulting changes in government likely impacted the ability of the Government of Guinea to fully engage in addressing the worst forms of child labor. @@ -13418,30 +13802,40 @@ Yes No No + No + No Cocoa Yes No No + No + No Coffee Yes No No + No + No Diamonds Yes No No + No + No Gold Yes No No + No + No @@ -14313,18 +14707,24 @@ Yes No No + No + No Lobsters Yes No No + No + No Melons Yes No No + No + No @@ -14563,156 +14963,208 @@ Yes No No + No + No Brassware Yes No No + No + No Bricks Yes Yes Yes + No + No Carpets Yes Yes No + No + No Cotton Yes No No + No + No Cottonseed (hybrid) Yes Yes Yes + No + No Embellished Textiles Yes Yes Yes + No + No Fireworks Yes No No + No + No Footwear Yes No No + No + No Garments Yes Yes Yes + No + No Gems Yes No No + No + No Glass Bangles Yes No No + No + No Incense (agarbatti) Yes No No + No + No Leather Goods/Accessories Yes No No + No + No Locks Yes No No + No + No Matches Yes No No + No + No Mica Yes No No + No + No Rice Yes Yes Yes + No + No Sandstone Yes Yes No + No + No Silk Fabric Yes No No + No + No Silk Thread Yes No No + No + No Soccer Balls Yes No No + No + No Stones Yes Yes Yes + No + No Sugarcane Yes No No + No + No Tea No Yes No + No + No Thread/Yarn Yes Yes No + No + No @@ -15019,72 +15471,96 @@ Yes Yes No + No + No Footwear (sandals) Yes No No + No + No Gold Yes No No + No + No Oil (Palm) Yes Yes No + No + No Rubber Yes No No + No + No Tobacco Yes No No + No + No Tin Yes No No + No + No Crude Palm Oil No No No + Yes + Indonesia Crude Palm Kernel Oil No No No + Yes + Indonesia Refined Palm Oil No No No + Yes + Indonesia Refined Palm Kernel Oil No No No + Yes + Indonesia Oleochemicals No No No + Yes + Indonesia @@ -15352,12 +15828,16 @@ Yes No No + No + No Carpets Yes No No + No + No @@ -16321,6 +16801,8 @@ Yes Yes No + No + No @@ -16534,66 +17016,88 @@ Yes No No + No + No Coffee Yes No No + No + No Fish Yes No No + No + No Gold Yes No No + No + No Khat/Miraa (stimulant plant) Yes No No + No + No Rice Yes No No + No + No Sand Yes No No + No + No Sisal Yes No No + No + No Sugarcane Yes No No + No + No Tea Yes No No + No + No Tobacco Yes No No + No + No @@ -17224,12 +17728,16 @@ Yes No No + No + No Tobacco Yes No No + No + No @@ -17455,12 +17963,16 @@ Yes No No + No + No Tobacco Yes No No + No + No @@ -17689,6 +18201,8 @@ Yes No No + No + No @@ -17908,12 +18422,16 @@ Yes No No + No + No Rubber Yes No No + No + No @@ -18160,24 +18678,32 @@ Yes No No + No + No Sapphires Yes No No + No + No Stones Yes No No + No + No Vanilla Yes No No + No + No @@ -18421,12 +18947,16 @@ Yes No No + No + No Tobacco Yes Yes Yes + No + No @@ -18677,44 +19207,34 @@ No Yes No + No + No Garments No Yes No + No + No Oil (Palm) Yes Yes No + No + No Rubber Gloves No Yes No + No + No - - - Global Action Program (GAP) on Child Labor Issues - https://www.dol.gov/agencies/ilab/global-action-program-gap-child-labor-issues - - - Protecting the Rights of Migrant Workers through Empowerment and Advocacy in Malaysia - https://www.dol.gov/agencies/ilab/protecting-rights-migrant-workers-through-empowerment-and-advocacy-malaysia - - - Research on Labor Conditions in the Production of Electronic Goods in Malaysia - https://www.dol.gov/agencies/ilab/research-labor-conditions-production-electronic-goods-malaysia - - - From Protocol to Practice: A Bridge to Global Action on Forced Labor (The Bridge Project) - https://www.dol.gov/agencies/ilab/protocol-practice-bridge-global-action-forced-labor-bridge-project-0 - - Maldives @@ -18929,18 +19449,24 @@ Yes No No + No + No Gold Yes No No + No + No Rice Yes Yes Yes + No + No @@ -19225,12 +19751,16 @@ Yes No No + No + No Goats Yes No No + No + No @@ -19672,90 +20202,120 @@ Yes No No + No + No Cattle Yes No No + No + No Chile Peppers Yes Yes No + No + No Coffee Yes No No + No + No Cucumbers Yes No No + No + No Eggplants Yes No No + No + No Garments Yes No No + No + No Leather Goods/Accessories Yes No No + No + No Melons Yes No No + No + No Onions Yes No No + No + No Poppies Yes No No + No + No Pornography Yes No No + No + No Sugarcane Yes No No + No + No Tobacco Yes No No + No + No Tomatoes Yes Yes No + No + No @@ -20232,18 +20792,24 @@ Yes No No + No + No Fluorspar (mineral) Yes No No + No + No Gold Yes No No + No + No @@ -21074,6 +21640,8 @@ Yes No No + No + No @@ -21525,24 +22093,32 @@ Yes Yes Yes + No + No Carpets Yes Yes Yes + No + No Embellished Textiles Yes Yes Yes + No + No Stones Yes Yes Yes + No + No @@ -21831,42 +22407,56 @@ Yes No No + No + No Coffee Yes No No + No + No Gold Yes No No + No + No Gravel (crushed stones) Yes No No + No + No Shellfish Yes No No + No + No Stones (pumice) Yes No No + No + No Tobacco Yes No No + No + No @@ -22126,30 +22716,40 @@ No Yes No + No + No Gold Yes No No + No + No Gypsum (mineral) Yes No No + No + No Salt Yes No No + No + No Trona (mineral) Yes No No + No + No @@ -22382,36 +22982,48 @@ Yes Yes Yes + No + No Gold Yes No No + No + No Granite Yes Yes Yes + No + No Gravel (crushed stones) Yes Yes Yes + No + No Manioc/Cassava Yes No No + No + No Sand Yes No No + No + No @@ -23034,42 +23646,56 @@ No Yes No + No + No Cement No Yes No + No + No Coal No Yes No + No + No Gold No Yes No + No + No Iron No Yes No + No + No Textiles No Yes No + No + No Timber No Yes No + No + No @@ -23441,102 +24067,136 @@ Yes No No + No + No Bovines Yes No No + No + No Bricks Yes Yes Yes + No + No Carpets Yes Yes Yes + No + No Coal Yes Yes Yes + No + No Cotton No Yes No + No + No Dairy Products Yes No No + No + No Electronics Yes No No + No + No Furniture Yes No No + No + No Garments Yes No No + No + No Glass Bangles Yes No No + No + No Leather Yes No No + No + No Rice Yes No No + No + No Sugarcane No Yes No + No + No Surgical Instruments Yes No No + No + No Textiles Yes No No + No + No Wheat No Yes No + No + No @@ -24737,12 +25397,16 @@ Yes No No + No + No Melons Yes No No + No + No @@ -25261,144 +25925,192 @@ Yes No No + No + No Bricks Yes No No + No + No Cabbages Yes No No + No + No Carrots Yes No No + No + No Cattle Yes Yes No + No + No Corn Yes No No + No + No Fish Yes No No + No + No Goats Yes No No + No + No Hogs Yes No No + No + No Lettuce Yes No No + No + No Manioc/Cassava Yes No No + No + No Melons Yes No No + No + No Onions Yes No No + No + No Peanuts Yes No No + No + No Peppers Yes No No + No + No Pornography Yes No No + No + No Poultry Yes No No + No + No Sesame Yes No No + No + No Sheep Yes No No + No + No Stones (limestone) Yes No No + No + No Sugarcane Yes No No + No + No Sweet Potatoes Yes No No + No + No Tomatoes Yes No No + No + No Yerba Mate (stimulant plant) Yes No No + No + No @@ -25665,42 +26377,56 @@ No Yes No + No + No Bricks Yes No No + No + No Coca (stimulant plant) Yes No No + No + No Fireworks Yes No No + No + No Fish Yes No No + No + No Gold Yes Yes No + No + No Timber No Yes No + No + No @@ -25967,78 +26693,104 @@ Yes No No + No + No Coconuts Yes No No + No + No Corn Yes No No + No + No Fashion Accessories Yes No No + No + No Fish Yes No No + No + No Gold Yes No No + No + No Hogs Yes No No + No + No Pornography Yes No No + No + No Pyrotechnics Yes No No + No + No Rice Yes No No + No + No Rubber Yes No No + No + No Sugarcane Yes No No + No + No Tobacco Yes No No + No + No @@ -26356,18 +27108,24 @@ No Yes No + No + No Pornography Yes Yes Yes + No + No Timber No Yes No + No + No @@ -26384,6 +27142,8 @@ Yes No No + No + No @@ -27665,6 +28425,8 @@ Yes No No + No + No @@ -28107,30 +28869,40 @@ Yes No No + No + No Coffee Yes No No + No + No Diamonds Yes Yes Yes + No + No Granite Yes No No + No + No Oil (Palm) Yes No No + No + No @@ -29261,6 +30033,8 @@ Yes Yes Yes + No + No @@ -29726,6 +30500,8 @@ Yes No No + No + No @@ -29742,6 +30518,8 @@ Yes No No + No + No @@ -30164,13 +30942,14 @@ Taiwan https://www.dol.gov/agencies/ilab/resources/reports/child-labor/taiwan Indo-Pacific - Fish No Yes No + No + No @@ -30184,6 +30963,8 @@ Yes Yes Yes + No + No @@ -30206,48 +30987,64 @@ Yes No No + No + No Coffee Yes No No + No + No Gold Yes No No + No + No Nile Perch (fish) Yes No No + No + No Sisal Yes No No + No + No Tea Yes No No + No + No Tobacco Yes No No + No + No Tanzanite (gems) Yes No No + No + No @@ -30931,30 +31728,40 @@ No Yes No + No + No Garments Yes Yes Yes + No + No Pornography Yes No No + No + No Shrimp Yes Yes Yes + No + No Sugarcane Yes No No + No + No @@ -32243,67 +33050,86 @@ Turkey https://www.dol.gov/agencies/ilab/resources/reports/child-labor/turkey Middle East and North Africa - Citrus Fruits Yes No No + No + No Cotton Yes No No + No + No Cumin Yes No No + No + No Footwear Yes No No + No + No Furniture Yes No No + No + No Garments Yes No No + No + No Hazelnuts Yes No No + No + No Peanuts Yes No No + No + No Pulses (legumes) Yes No No + No + No Sugar Beets Yes No No + No + No @@ -32335,6 +33161,8 @@ Yes Yes No + No + No @@ -32548,78 +33376,104 @@ Yes No No + No + No Cattle Yes No No + No + No Charcoal Yes No No + No + No Coffee Yes No No + No + No Fish Yes No No + No + No Gold Yes No No + No + No Rice Yes No No + No + No Sand Yes No No + No + No Stones Yes No No + No + No Sugarcane Yes No No + No + No Tea Yes No No + No + No Tobacco Yes No No + No + No Vanilla Yes No No + No + No @@ -32911,18 +33765,24 @@ Yes No No + No + No Coal Yes No No + No + No Pornography Yes No No + No + No @@ -33165,12 +34025,16 @@ No Yes No + No + No Silk Cocoons No Yes No + No + No @@ -33603,6 +34467,8 @@ No Yes No + No + No @@ -33616,96 +34482,128 @@ Yes No No + No + No Cashews Yes No No + No + No Coffee Yes No No + No + No Fish Yes No No + No + No Footwear Yes No No + No + No Furniture Yes No No + No + No Garments Yes Yes Yes + No + No Leather Yes No No + No + No Pepper Yes No No + No + No Rice Yes No No + No + No Rubber Yes No No + No + No Sugarcane Yes No No + No + No Tea Yes No No + No + No Textiles Yes No No + No + No Timber Yes No No + No + No Tobacco Yes No No + No + No @@ -34287,6 +35185,8 @@ Yes No No + No + No @@ -34495,30 +35395,40 @@ Yes No No + No + No Cotton Yes No No + No + No Gems Yes No No + No + No Stones Yes No No + No + No Tobacco Yes No No + No + No @@ -34780,18 +35690,24 @@ Yes No No + No + No Tobacco Yes No No + No + No Sugarcane Yes No No + No + No diff --git a/Child Labor/goods_2016.xml b/Child Labor/goods_2016.xml index 4bada3e..bb55ba6 100644 --- a/Child Labor/goods_2016.xml +++ b/Child Labor/goods_2016.xml @@ -9,6 +9,8 @@ Yes No No + No + No @@ -22,6 +24,8 @@ Yes No No + No + No @@ -35,6 +39,8 @@ Yes No No + No + No @@ -48,6 +54,8 @@ No Yes No + No + No @@ -61,6 +69,8 @@ Yes No No + No + No El Salvador @@ -68,6 +78,8 @@ Yes No No + No + No Pakistan @@ -75,6 +87,8 @@ Yes No No + No + No @@ -88,6 +102,8 @@ Yes Yes Yes + No + No @@ -101,6 +117,8 @@ Yes No No + No + No Brazil @@ -108,6 +126,8 @@ Yes No No + No + No Ecuador @@ -115,6 +135,8 @@ Yes No No + No + No Nicaragua @@ -122,6 +144,8 @@ Yes No No + No + No Philippines @@ -129,6 +153,8 @@ Yes No No + No + No @@ -142,6 +168,8 @@ Yes No No + No + No @@ -155,6 +183,8 @@ Yes No No + No + No @@ -168,6 +198,8 @@ Yes Yes Yes + No + No @@ -181,6 +213,8 @@ Yes No No + No + No @@ -194,6 +228,8 @@ Yes No No + No + No India @@ -201,6 +237,8 @@ Yes No No + No + No @@ -214,6 +252,8 @@ Yes No No + No + No @@ -227,6 +267,8 @@ Yes No No + No + No Ecuador @@ -234,6 +276,8 @@ Yes No No + No + No Eswatini @@ -241,6 +285,8 @@ Yes No No + No + No Ghana @@ -248,6 +294,8 @@ Yes No No + No + No Pakistan @@ -255,6 +303,8 @@ Yes No No + No + No @@ -268,6 +318,8 @@ Yes No No + No + No @@ -281,6 +333,8 @@ Yes Yes Yes + No + No Peru @@ -288,6 +342,8 @@ No Yes No + No + No @@ -301,6 +357,8 @@ Yes Yes Yes + No + No Argentina @@ -308,6 +366,8 @@ Yes No No + No + No Bangladesh @@ -315,6 +375,8 @@ Yes No No + No + No Bolivia @@ -322,6 +384,8 @@ Yes No No + No + No Brazil @@ -329,6 +393,8 @@ Yes No No + No + No Burma @@ -336,6 +402,8 @@ Yes Yes Yes + No + No Cambodia @@ -343,6 +411,8 @@ Yes Yes No + No + No China @@ -350,6 +420,8 @@ Yes Yes Yes + No + No Ecuador @@ -357,6 +429,8 @@ Yes No No + No + No Egypt @@ -364,6 +438,8 @@ Yes No No + No + No India @@ -371,6 +447,8 @@ Yes Yes Yes + No + No Iran @@ -378,6 +456,8 @@ Yes No No + No + No Nepal @@ -385,6 +465,8 @@ Yes Yes Yes + No + No North Korea @@ -392,6 +474,8 @@ No Yes No + No + No Pakistan @@ -399,6 +483,8 @@ Yes Yes Yes + No + No Paraguay @@ -406,6 +492,8 @@ Yes No No + No + No Peru @@ -413,6 +501,8 @@ Yes No No + No + No Russia @@ -420,6 +510,8 @@ No Yes No + No + No Uganda @@ -427,6 +519,8 @@ Yes No No + No + No Vietnam @@ -434,6 +528,8 @@ Yes No No + No + No @@ -447,6 +543,8 @@ Yes No No + No + No @@ -460,6 +558,8 @@ Yes No No + No + No @@ -473,6 +573,8 @@ Yes No No + No + No @@ -486,6 +588,8 @@ Yes No No + No + No India @@ -493,6 +597,8 @@ Yes Yes No + No + No Iran @@ -500,6 +606,8 @@ Yes No No + No + No Nepal @@ -507,6 +615,8 @@ Yes Yes Yes + No + No Pakistan @@ -514,6 +624,8 @@ Yes Yes Yes + No + No @@ -527,6 +639,8 @@ Yes No No + No + No @@ -540,6 +654,8 @@ Yes No No + No + No Guinea @@ -547,6 +663,8 @@ Yes No No + No + No Vietnam @@ -554,6 +672,8 @@ Yes No No + No + No @@ -567,6 +687,8 @@ No Yes No + No + No Brazil @@ -574,6 +696,8 @@ Yes Yes No + No + No Chad @@ -581,6 +705,8 @@ Yes No No + No + No Costa Rica @@ -588,6 +714,8 @@ Yes No No + No + No El Salvador @@ -595,6 +723,8 @@ Yes No No + No + No Ethiopia @@ -602,6 +732,8 @@ Yes No No + No + No Kenya @@ -609,6 +741,8 @@ Yes No No + No + No Lesotho @@ -616,6 +750,8 @@ Yes No No + No + No Mauritania @@ -623,6 +759,8 @@ Yes No No + No + No Mexico @@ -630,6 +768,8 @@ Yes No No + No + No Niger @@ -637,6 +777,8 @@ No Yes No + No + No Paraguay @@ -644,6 +786,8 @@ Yes Yes No + No + No South Sudan @@ -651,6 +795,8 @@ Yes Yes Yes + No + No Uganda @@ -658,6 +804,8 @@ Yes No No + No + No Zambia @@ -665,6 +813,8 @@ Yes No No + No + No @@ -678,6 +828,8 @@ No Yes No + No + No @@ -691,6 +843,8 @@ Yes No No + No + No @@ -704,6 +858,8 @@ Yes No No + No + No @@ -717,6 +873,8 @@ Yes Yes No + No + No Uganda @@ -724,6 +882,8 @@ Yes No No + No + No @@ -737,6 +897,8 @@ Yes Yes No + No + No @@ -750,6 +912,8 @@ No Yes No + No + No @@ -763,6 +927,8 @@ Yes No No + No + No Turkey @@ -770,6 +936,8 @@ Yes No No + No + No @@ -783,6 +951,8 @@ Yes No No + No + No @@ -796,6 +966,8 @@ Yes No No + No + No China @@ -803,6 +975,8 @@ No Yes No + No + No Colombia @@ -810,6 +984,8 @@ Yes No No + No + No Mongolia @@ -817,6 +993,8 @@ Yes No No + No + No North Korea @@ -824,6 +1002,8 @@ No Yes No + No + No Pakistan @@ -831,6 +1011,8 @@ Yes Yes Yes + No + No Ukraine @@ -838,6 +1020,8 @@ Yes No No + No + No @@ -846,11 +1030,13 @@ Mining - Congo, Democratic Republic of the + Congo Democratic Republic of the Sub-Saharan Africa Yes No No + No + No @@ -864,6 +1050,8 @@ Yes Yes Yes + No + No Peru @@ -871,6 +1059,8 @@ Yes No No + No + No @@ -884,6 +1074,8 @@ Yes No No + No + No Cameroon @@ -891,6 +1083,8 @@ Yes No No + No + No Côte d'Ivoire @@ -898,6 +1092,8 @@ Yes Yes Yes + No + No Ghana @@ -905,6 +1101,8 @@ Yes No No + No + No Guinea @@ -912,6 +1110,8 @@ Yes No No + No + No Nigeria @@ -919,6 +1119,8 @@ Yes Yes Yes + No + No Sierra Leone @@ -926,6 +1128,8 @@ Yes No No + No + No @@ -939,6 +1143,8 @@ Yes No No + No + No @@ -952,6 +1158,8 @@ Yes Yes No + No + No Colombia @@ -959,6 +1167,8 @@ Yes No No + No + No Costa Rica @@ -966,13 +1176,17 @@ Yes No No + No + No - Cote d'Ivoire + Côte d'Ivoire Sub-Saharan Africa Yes Yes Yes + No + No Dominican Republic @@ -980,6 +1194,8 @@ Yes No No + No + No El Salvador @@ -987,6 +1203,8 @@ Yes No No + No + No Guatemala @@ -994,6 +1212,8 @@ Yes No No + No + No Guinea @@ -1001,6 +1221,8 @@ Yes No No + No + No Honduras @@ -1008,6 +1230,8 @@ Yes No No + No + No Kenya @@ -1015,6 +1239,8 @@ Yes No No + No + No Mexico @@ -1022,6 +1248,8 @@ Yes No No + No + No Nicaragua @@ -1029,6 +1257,8 @@ Yes No No + No + No Panama @@ -1036,6 +1266,8 @@ Yes No No + No + No Sierra Leone @@ -1043,6 +1275,8 @@ Yes No No + No + No Tanzania @@ -1050,6 +1284,8 @@ Yes No No + No + No Uganda @@ -1057,6 +1293,8 @@ Yes No No + No + No Vietnam @@ -1064,6 +1302,8 @@ Yes No No + No + No @@ -1072,11 +1312,13 @@ Mining - Congo, Democratic Republic of the + Congo Democratic Republic of the Sub-Saharan Africa Yes No No + No + No @@ -1090,6 +1332,8 @@ Yes Yes No + No + No Brazil @@ -1097,6 +1341,8 @@ Yes No No + No + No Guatemala @@ -1104,6 +1350,8 @@ Yes No No + No + No Paraguay @@ -1111,6 +1359,8 @@ Yes No No + No + No Philippines @@ -1118,6 +1368,8 @@ Yes No No + No + No @@ -1131,6 +1383,8 @@ Yes No No + No + No Azerbaijan @@ -1138,6 +1392,8 @@ Yes No No + No + No Benin @@ -1145,6 +1401,8 @@ Yes Yes Yes + No + No Brazil @@ -1152,6 +1410,8 @@ Yes No No + No + No Burkina Faso @@ -1159,6 +1419,8 @@ Yes Yes Yes + No + No China @@ -1166,6 +1428,8 @@ Yes Yes Yes + No + No Egypt @@ -1173,6 +1437,8 @@ Yes No No + No + No India @@ -1180,6 +1446,8 @@ Yes No No + No + No Kazakhstan @@ -1187,6 +1455,8 @@ Yes Yes No + No + No Kyrgyz Republic @@ -1194,6 +1464,8 @@ Yes No No + No + No Mali @@ -1201,6 +1473,8 @@ Yes No No + No + No Pakistan @@ -1208,6 +1482,8 @@ No Yes No + No + No Tajikistan @@ -1215,6 +1491,8 @@ Yes Yes Yes + No + No Turkey @@ -1222,6 +1500,8 @@ Yes No No + No + No Turkmenistan @@ -1229,6 +1509,8 @@ Yes Yes No + No + No Uzbekistan @@ -1236,6 +1518,8 @@ No Yes No + No + No Zambia @@ -1243,6 +1527,8 @@ Yes No No + No + No @@ -1256,6 +1542,8 @@ Yes Yes Yes + No + No @@ -1269,6 +1557,8 @@ No No No + Yes + Indonesia @@ -1282,6 +1572,8 @@ No No No + Yes + Indonesia @@ -1295,6 +1587,8 @@ Yes No No + No + No @@ -1308,6 +1602,8 @@ Yes No No + No + No @@ -1321,6 +1617,8 @@ Yes No No + No + No @@ -1334,6 +1632,8 @@ Yes Yes No + No + No Central African Republic @@ -1341,13 +1641,17 @@ Yes No No + No + No - Congo, Democratic Republic of the + Congo Democratic Republic of the Sub-Saharan Africa Yes No No + No + No Guinea @@ -1355,6 +1659,8 @@ Yes No No + No + No Liberia @@ -1362,6 +1668,8 @@ Yes No No + No + No Sierra Leone @@ -1369,6 +1677,8 @@ Yes Yes Yes + No + No @@ -1382,6 +1692,8 @@ Yes Yes Yes + No + No @@ -1395,6 +1707,8 @@ Yes No No + No + No @@ -1408,6 +1722,8 @@ Yes Yes Yes + No + No Malaysia @@ -1415,6 +1731,8 @@ No Yes No + No + No Pakistan @@ -1422,6 +1740,8 @@ Yes No No + No + No @@ -1435,6 +1755,8 @@ Yes Yes Yes + No + No Nepal @@ -1442,6 +1764,8 @@ Yes Yes Yes + No + No @@ -1455,6 +1779,8 @@ Yes No No + No + No @@ -1468,6 +1794,8 @@ Yes No No + No + No @@ -1481,6 +1809,8 @@ Yes Yes No + No + No El Salvador @@ -1488,6 +1818,8 @@ Yes No No + No + No Guatemala @@ -1495,6 +1827,8 @@ Yes No No + No + No India @@ -1502,6 +1836,8 @@ Yes No No + No + No Peru @@ -1509,6 +1845,8 @@ Yes No No + No + No @@ -1522,6 +1860,8 @@ Yes No No + No + No Cambodia @@ -1529,6 +1869,8 @@ Yes No No + No + No China @@ -1536,6 +1878,8 @@ No Yes No + No + No Ghana @@ -1543,6 +1887,8 @@ Yes Yes Yes + No + No Indonesia @@ -1550,6 +1896,8 @@ Yes Yes No + No + No Kenya @@ -1557,6 +1905,8 @@ Yes No No + No + No Paraguay @@ -1564,6 +1914,8 @@ Yes No No + No + No Peru @@ -1571,6 +1923,8 @@ Yes No No + No + No Philippines @@ -1578,6 +1932,8 @@ Yes No No + No + No Taiwan @@ -1585,6 +1941,8 @@ No Yes No + No + No Thailand @@ -1592,6 +1950,8 @@ No Yes No + No + No Uganda @@ -1599,6 +1959,8 @@ Yes No No + No + No Vietnam @@ -1606,6 +1968,8 @@ Yes No No + No + No Yemen @@ -1613,6 +1977,8 @@ Yes No No + No + No @@ -1626,6 +1992,8 @@ Yes No No + No + No @@ -1639,6 +2007,8 @@ Yes No No + No + No @@ -1652,6 +2022,8 @@ Yes No No + No + No Brazil @@ -1659,6 +2031,8 @@ Yes No No + No + No China @@ -1666,6 +2040,8 @@ No Yes No + No + No India @@ -1673,6 +2049,8 @@ Yes No No + No + No Turkey @@ -1680,6 +2058,8 @@ Yes No No + No + No Vietnam @@ -1687,6 +2067,8 @@ Yes No No + No + No @@ -1700,6 +2082,8 @@ Yes No No + No + No @@ -1713,6 +2097,8 @@ Yes No No + No + No @@ -1726,6 +2112,8 @@ Yes No No + No + No Turkey @@ -1733,6 +2121,8 @@ Yes No No + No + No Vietnam @@ -1740,6 +2130,8 @@ Yes No No + No + No @@ -1753,6 +2145,8 @@ Yes No No + No + No @@ -1766,6 +2160,8 @@ Yes No No + No + No @@ -1779,6 +2175,8 @@ Yes Yes Yes + No + No Bangladesh @@ -1786,6 +2184,8 @@ Yes Yes No + No + No Brazil @@ -1793,6 +2193,8 @@ No Yes No + No + No Burma @@ -1800,6 +2202,8 @@ Yes No No + No + No China @@ -1807,6 +2211,8 @@ No Yes No + No + No India @@ -1814,6 +2220,8 @@ Yes Yes Yes + No + No Malaysia @@ -1821,6 +2229,8 @@ No Yes No + No + No Mexico @@ -1828,6 +2238,8 @@ Yes No No + No + No Pakistan @@ -1835,6 +2247,8 @@ Yes No No + No + No Thailand @@ -1842,6 +2256,8 @@ Yes Yes Yes + No + No Turkey @@ -1849,6 +2265,8 @@ Yes No No + No + No Vietnam @@ -1856,6 +2274,8 @@ Yes Yes Yes + No + No @@ -1869,6 +2289,8 @@ Yes No No + No + No Zambia @@ -1876,6 +2298,8 @@ Yes No No + No + No @@ -1889,6 +2313,8 @@ Yes No No + No + No @@ -1902,6 +2328,8 @@ Yes No No + No + No Pakistan @@ -1909,6 +2337,8 @@ Yes No No + No + No @@ -1922,6 +2352,8 @@ No Yes No + No + No @@ -1935,6 +2367,8 @@ Yes No No + No + No Paraguay @@ -1942,6 +2376,8 @@ Yes No No + No + No @@ -1955,6 +2391,8 @@ Yes No No + No + No Burkina Faso @@ -1962,6 +2400,8 @@ Yes Yes Yes + No + No Cameroon @@ -1969,6 +2409,8 @@ Yes No No + No + No Colombia @@ -1976,13 +2418,17 @@ Yes No No + No + No - Congo, Democratic Republic of the + Congo Democratic Republic of the Sub-Saharan Africa Yes Yes Yes + No + No Ecuador @@ -1990,6 +2436,8 @@ Yes No No + No + No Ethiopia @@ -1997,6 +2445,8 @@ Yes No No + No + No Ghana @@ -2004,6 +2454,8 @@ Yes No No + No + No Guinea @@ -2011,6 +2463,8 @@ Yes No No + No + No Indonesia @@ -2018,6 +2472,8 @@ Yes No No + No + No Kenya @@ -2025,6 +2481,8 @@ Yes No No + No + No Mali @@ -2032,6 +2490,8 @@ Yes No No + No + No Mongolia @@ -2039,6 +2499,8 @@ Yes No No + No + No Nicaragua @@ -2046,6 +2508,8 @@ Yes No No + No + No Niger @@ -2053,6 +2517,8 @@ Yes No No + No + No Nigeria @@ -2060,6 +2526,8 @@ Yes No No + No + No North Korea @@ -2067,6 +2535,8 @@ No Yes No + No + No Peru @@ -2074,6 +2544,8 @@ Yes Yes No + No + No Philippines @@ -2081,6 +2553,8 @@ Yes No No + No + No Senegal @@ -2088,6 +2562,8 @@ Yes No No + No + No Sudan @@ -2095,6 +2571,8 @@ Yes No No + No + No Suriname @@ -2102,6 +2580,8 @@ Yes No No + No + No Tanzania @@ -2109,6 +2589,8 @@ Yes No No + No + No Uganda @@ -2116,6 +2598,8 @@ Yes No No + No + No Venezuela @@ -2123,6 +2607,8 @@ No Yes No + No + No Zimbabwe @@ -2130,6 +2616,8 @@ Yes No No + No + No @@ -2143,6 +2631,8 @@ Yes No No + No + No Nigeria @@ -2150,6 +2640,8 @@ Yes Yes Yes + No + No Sierra Leone @@ -2157,6 +2649,8 @@ Yes No No + No + No @@ -2170,6 +2664,8 @@ Yes No No + No + No @@ -2183,6 +2679,8 @@ Yes No No + No + No Colombia @@ -2190,6 +2688,8 @@ Yes No No + No + No @@ -2203,6 +2703,8 @@ Yes No No + No + No Nicaragua @@ -2210,6 +2712,8 @@ Yes No No + No + No Nigeria @@ -2217,6 +2721,8 @@ Yes Yes Yes + No + No @@ -2230,6 +2736,8 @@ Yes No No + No + No @@ -2243,6 +2751,8 @@ No Yes No + No + No @@ -2256,6 +2766,8 @@ Yes No No + No + No @@ -2269,6 +2781,8 @@ Yes No No + No + No Ecuador @@ -2276,6 +2790,8 @@ Yes No No + No + No Paraguay @@ -2283,6 +2799,8 @@ Yes No No + No + No Philippines @@ -2290,6 +2808,8 @@ Yes No No + No + No @@ -2303,6 +2823,8 @@ Yes No No + No + No @@ -2316,6 +2838,8 @@ No No No + Yes + China @@ -2329,6 +2853,8 @@ No Yes No + No + No @@ -2342,6 +2868,8 @@ Yes Yes No + No + No @@ -2355,6 +2883,8 @@ Yes No No + No + No @@ -2368,6 +2898,8 @@ Yes No No + No + No @@ -2381,6 +2913,8 @@ Yes No No + No + No @@ -2394,6 +2928,8 @@ Yes No No + No + No Pakistan @@ -2401,6 +2937,8 @@ Yes No No + No + No Vietnam @@ -2408,6 +2946,8 @@ Yes No No + No + No @@ -2421,6 +2961,8 @@ Yes No No + No + No Mexico @@ -2428,6 +2970,8 @@ Yes No No + No + No @@ -2441,6 +2985,8 @@ Yes No No + No + No @@ -2454,6 +3000,8 @@ No No No + Yes + Congo Democratic Republic of the @@ -2467,6 +3015,8 @@ Yes No No + No + No @@ -2480,6 +3030,8 @@ Yes No No + No + No @@ -2493,6 +3045,8 @@ Yes No No + No + No Cambodia @@ -2500,6 +3054,8 @@ Yes No No + No + No Nigeria @@ -2507,6 +3063,8 @@ Yes No No + No + No Paraguay @@ -2514,6 +3072,8 @@ Yes No No + No + No @@ -2527,6 +3087,8 @@ Yes No No + No + No India @@ -2534,6 +3096,8 @@ Yes No No + No + No @@ -2547,6 +3111,8 @@ Yes No No + No + No @@ -2560,6 +3126,8 @@ Yes No No + No + No Mexico @@ -2567,6 +3135,8 @@ Yes No No + No + No Panama @@ -2574,6 +3144,8 @@ Yes No No + No + No Paraguay @@ -2581,6 +3153,8 @@ Yes No No + No + No @@ -2594,6 +3168,8 @@ Yes No No + No + No Madagascar @@ -2601,6 +3177,8 @@ Yes No No + No + No @@ -2614,6 +3192,8 @@ No Yes No + No + No @@ -2627,6 +3207,8 @@ Yes No No + No + No @@ -2640,6 +3222,8 @@ Yes Yes No + No + No Malaysia @@ -2647,6 +3231,8 @@ Yes Yes No + No + No Sierra Leone @@ -2654,6 +3240,8 @@ Yes No No + No + No @@ -2667,6 +3255,8 @@ No No No + Yes + Indonesia @@ -2680,6 +3270,8 @@ Yes No No + No + No @@ -2693,6 +3285,8 @@ Yes No No + No + No Paraguay @@ -2700,6 +3294,8 @@ Yes No No + No + No @@ -2713,6 +3309,8 @@ No Yes No + No + No @@ -2726,6 +3324,8 @@ No Yes No + No + No Paraguay @@ -2733,6 +3333,8 @@ Yes No No + No + No Turkey @@ -2740,6 +3342,8 @@ Yes No No + No + No @@ -2753,6 +3357,8 @@ Yes No No + No + No @@ -2766,6 +3372,8 @@ Yes No No + No + No @@ -2779,6 +3387,8 @@ Yes No No + No + No @@ -2792,6 +3402,8 @@ No Yes No + No + No @@ -2805,6 +3417,8 @@ Yes No No + No + No Mexico @@ -2812,6 +3426,8 @@ Yes No No + No + No @@ -2825,6 +3441,8 @@ Yes No No + No + No Mexico @@ -2832,6 +3450,8 @@ Yes No No + No + No Paraguay @@ -2839,6 +3459,8 @@ Yes No No + No + No Philippines @@ -2846,6 +3468,8 @@ Yes No No + No + No Russia @@ -2853,6 +3477,8 @@ Yes Yes Yes + No + No Thailand @@ -2860,6 +3486,8 @@ Yes No No + No + No Ukraine @@ -2867,6 +3495,8 @@ Yes No No + No + No @@ -2880,6 +3510,8 @@ Yes No No + No + No @@ -2893,6 +3525,8 @@ Yes No No + No + No Brazil @@ -2900,6 +3534,8 @@ Yes No No + No + No Ecuador @@ -2907,6 +3543,8 @@ Yes No No + No + No Paraguay @@ -2914,6 +3552,8 @@ Yes No No + No + No @@ -2927,6 +3567,8 @@ Yes No No + No + No @@ -2940,6 +3582,8 @@ Yes No No + No + No @@ -2953,6 +3597,8 @@ No No No + Yes + Indonesia @@ -2966,6 +3612,8 @@ No No No + Yes + Indonesia @@ -2979,6 +3627,8 @@ Yes No No + No + No Burma @@ -2986,6 +3636,8 @@ Yes Yes Yes + No + No Dominican Republic @@ -2993,6 +3645,8 @@ Yes No No + No + No Ecuador @@ -3000,6 +3654,8 @@ Yes No No + No + No Ghana @@ -3007,6 +3663,8 @@ Yes No No + No + No India @@ -3014,6 +3672,8 @@ Yes Yes Yes + No + No Kenya @@ -3021,6 +3681,8 @@ Yes No No + No + No Mali @@ -3028,6 +3690,8 @@ Yes Yes Yes + No + No Pakistan @@ -3035,6 +3699,8 @@ Yes No No + No + No Philippines @@ -3042,6 +3708,8 @@ Yes No No + No + No Uganda @@ -3049,6 +3717,8 @@ Yes No No + No + No Vietnam @@ -3056,6 +3726,8 @@ Yes No No + No + No @@ -3069,6 +3741,8 @@ Yes Yes Yes + No + No Cambodia @@ -3076,6 +3750,8 @@ Yes No No + No + No Indonesia @@ -3083,6 +3759,8 @@ Yes No No + No + No Liberia @@ -3090,6 +3768,8 @@ Yes No No + No + No Philippines @@ -3097,6 +3777,8 @@ Yes No No + No + No Vietnam @@ -3104,6 +3786,8 @@ Yes No No + No + No @@ -3117,6 +3801,8 @@ No Yes No + No + No @@ -3130,6 +3816,8 @@ Yes Yes No + No + No @@ -3143,6 +3831,8 @@ Yes No No + No + No Bangladesh @@ -3150,6 +3840,8 @@ Yes No No + No + No Cambodia @@ -3157,6 +3849,8 @@ Yes No No + No + No Niger @@ -3164,6 +3858,8 @@ Yes No No + No + No @@ -3177,6 +3873,8 @@ Yes No No + No + No Nigeria @@ -3184,6 +3882,8 @@ Yes No No + No + No Uganda @@ -3191,6 +3891,8 @@ Yes No No + No + No @@ -3204,6 +3906,8 @@ Yes Yes No + No + No @@ -3217,6 +3921,8 @@ Yes No No + No + No @@ -3230,6 +3936,8 @@ No Yes No + No + No Paraguay @@ -3237,6 +3945,8 @@ Yes No No + No + No @@ -3250,6 +3960,8 @@ Yes No No + No + No Paraguay @@ -3257,6 +3969,8 @@ Yes No No + No + No @@ -3270,6 +3984,8 @@ Yes No No + No + No Nicaragua @@ -3277,6 +3993,8 @@ Yes No No + No + No @@ -3290,6 +4008,8 @@ Yes No No + No + No Burma @@ -3297,6 +4017,8 @@ No Yes No + No + No Cambodia @@ -3304,6 +4026,8 @@ Yes No No + No + No Thailand @@ -3311,6 +4035,8 @@ Yes Yes Yes + No + No @@ -3324,6 +4050,8 @@ No Yes No + No + No @@ -3337,6 +4065,8 @@ Yes No No + No + No @@ -3350,6 +4080,8 @@ Yes No No + No + No @@ -3363,6 +4095,8 @@ Yes No No + No + No @@ -3376,6 +4110,8 @@ Yes No No + No + No Kenya @@ -3383,6 +4119,8 @@ Yes No No + No + No Tanzania @@ -3390,6 +4128,8 @@ Yes No No + No + No @@ -3403,6 +4143,8 @@ Yes No No + No + No @@ -3416,6 +4158,8 @@ Yes No No + No + No @@ -3429,6 +4173,8 @@ No No No + Yes + China @@ -3442,6 +4188,8 @@ No No No + Yes + China @@ -3455,6 +4203,8 @@ Yes Yes Yes + No + No Madagascar @@ -3462,6 +4212,8 @@ Yes No No + No + No Nepal @@ -3469,6 +4221,8 @@ Yes Yes Yes + No + No Uganda @@ -3476,6 +4230,8 @@ Yes No No + No + No Zambia @@ -3483,6 +4239,8 @@ Yes No No + No + No @@ -3496,6 +4254,8 @@ Yes No No + No + No Paraguay @@ -3503,6 +4263,8 @@ Yes No No + No + No @@ -3516,6 +4278,8 @@ Yes No No + No + No @@ -3529,6 +4293,8 @@ Yes No No + No + No @@ -3542,6 +4308,8 @@ Yes No No + No + No @@ -3555,6 +4323,8 @@ Yes No No + No + No Bolivia @@ -3562,6 +4332,8 @@ Yes Yes Yes + No + No Brazil @@ -3569,6 +4341,8 @@ Yes Yes No + No + No Burma @@ -3576,6 +4350,8 @@ Yes Yes Yes + No + No Cambodia @@ -3583,6 +4359,8 @@ Yes No No + No + No Colombia @@ -3590,6 +4368,8 @@ Yes No No + No + No Dominican Republic @@ -3597,6 +4377,8 @@ Yes Yes No + No + No El Salvador @@ -3604,6 +4386,8 @@ Yes No No + No + No Guatemala @@ -3611,6 +4395,8 @@ Yes No No + No + No India @@ -3618,6 +4404,8 @@ Yes No No + No + No Kenya @@ -3625,6 +4413,8 @@ Yes No No + No + No Mexico @@ -3632,6 +4422,8 @@ Yes No No + No + No Pakistan @@ -3639,6 +4431,8 @@ No Yes No + No + No Paraguay @@ -3646,6 +4440,8 @@ Yes No No + No + No Philippines @@ -3653,6 +4449,8 @@ Yes No No + No + No Thailand @@ -3660,6 +4458,8 @@ Yes No No + No + No Uganda @@ -3667,6 +4467,8 @@ Yes No No + No + No Vietnam @@ -3674,6 +4476,8 @@ Yes No No + No + No Zimbabwe @@ -3681,6 +4485,8 @@ Yes No No + No + No @@ -3694,6 +4500,8 @@ No Yes No + No + No @@ -3707,6 +4515,8 @@ Yes No No + No + No @@ -3720,6 +4530,8 @@ Yes No No + No + No @@ -3728,11 +4540,13 @@ Mining - Congo, Democratic Republic of the + Congo Democratic Republic of the Sub-Saharan Africa Yes Yes Yes + No + No @@ -3746,6 +4560,8 @@ Yes No No + No + No @@ -3759,6 +4575,8 @@ No Yes No + No + No Kenya @@ -3766,6 +4584,8 @@ Yes No No + No + No Malawi @@ -3773,6 +4593,8 @@ Yes No No + No + No Rwanda @@ -3780,6 +4602,8 @@ Yes No No + No + No Tanzania @@ -3787,6 +4611,8 @@ Yes No No + No + No Uganda @@ -3794,6 +4620,8 @@ Yes No No + No + No Vietnam @@ -3801,6 +4629,8 @@ Yes No No + No + No @@ -3814,6 +4644,8 @@ Yes Yes Yes + No + No @@ -3827,6 +4659,8 @@ Yes No No + No + No Cambodia @@ -3834,6 +4668,8 @@ Yes No No + No + No China @@ -3841,6 +4677,8 @@ Yes Yes No + No + No Ghana @@ -3848,6 +4686,8 @@ Yes No No + No + No North Korea @@ -3855,6 +4695,8 @@ No Yes No + No + No Pakistan @@ -3862,6 +4704,8 @@ Yes No No + No + No Vietnam @@ -3869,6 +4713,8 @@ Yes No No + No + No @@ -3882,6 +4728,8 @@ Yes Yes Yes + No + No @@ -3895,6 +4743,8 @@ No Yes No + No + No India @@ -3902,6 +4752,8 @@ Yes Yes No + No + No @@ -3915,6 +4767,8 @@ Yes Yes Yes + No + No @@ -3928,6 +4782,8 @@ No Yes No + No + No Cambodia @@ -3935,6 +4791,8 @@ Yes No No + No + No North Korea @@ -3942,6 +4800,8 @@ No Yes No + No + No Peru @@ -3949,6 +4809,8 @@ No Yes No + No + No Russia @@ -3956,6 +4818,8 @@ No Yes No + No + No Vietnam @@ -3963,6 +4827,8 @@ Yes No No + No + No @@ -3976,6 +4842,8 @@ Yes No No + No + No Indonesia @@ -3983,6 +4851,8 @@ Yes No No + No + No @@ -3991,11 +4861,13 @@ Mining - Congo, Democratic Republic of the + Congo Democratic Republic of the Sub-Saharan Africa Yes Yes Yes + No + No @@ -4009,6 +4881,8 @@ Yes No No + No + No Brazil @@ -4016,6 +4890,8 @@ Yes No No + No + No Cambodia @@ -4023,6 +4899,8 @@ Yes No No + No + No Indonesia @@ -4030,6 +4908,8 @@ Yes No No + No + No Kenya @@ -4037,6 +4917,8 @@ Yes No No + No + No Kyrgyz Republic @@ -4044,6 +4926,8 @@ Yes No No + No + No Lebanon @@ -4051,6 +4935,8 @@ Yes No No + No + No Malawi @@ -4058,6 +4944,8 @@ Yes Yes Yes + No + No Mexico @@ -4065,6 +4953,8 @@ Yes No No + No + No Mozambique @@ -4072,6 +4962,8 @@ Yes No No + No + No Nicaragua @@ -4079,6 +4971,8 @@ Yes No No + No + No Philippines @@ -4086,6 +4980,8 @@ Yes No No + No + No Tanzania @@ -4093,6 +4989,8 @@ Yes No No + No + No Uganda @@ -4100,6 +4998,8 @@ Yes No No + No + No Vietnam @@ -4107,6 +5007,8 @@ Yes No No + No + No Zambia @@ -4114,6 +5016,8 @@ Yes No No + No + No Zimbabwe @@ -4121,6 +5025,8 @@ Yes No No + No + No @@ -4134,6 +5040,8 @@ No Yes No + No + No @@ -4147,6 +5055,8 @@ Yes No No + No + No Dominican Republic @@ -4154,6 +5064,8 @@ Yes No No + No + No Mexico @@ -4161,6 +5073,8 @@ Yes Yes No + No + No Paraguay @@ -4168,6 +5082,8 @@ Yes No No + No + No @@ -4181,6 +5097,8 @@ Yes Yes Yes + No + No @@ -4194,6 +5112,8 @@ Yes No No + No + No @@ -4202,11 +5122,13 @@ Mining - Congo, Democratic Republic of the + Congo Democratic Republic of the Sub-Saharan Africa Yes Yes Yes + No + No @@ -4220,6 +5142,8 @@ Yes No No + No + No Uganda @@ -4227,6 +5151,8 @@ Yes No No + No + No @@ -4240,6 +5166,8 @@ No No No + Yes + China @@ -4253,6 +5181,8 @@ No Yes No + No + No @@ -4266,6 +5196,8 @@ Yes No No + No + No Paraguay @@ -4273,6 +5205,8 @@ Yes No No + No + No @@ -4286,6 +5220,8 @@ Yes No No + No + No From a4bd7b154adf2c0befc46bfe99cf130a18f9671e Mon Sep 17 00:00:00 2001 From: pbhatt17 Date: Fri, 5 Aug 2022 14:10:18 -0400 Subject: [PATCH 3/8] updated new goods icon, goods count, goods order and Assessment chart dark mode bugfix --- Child Labor.xcodeproj/project.pbxproj | 144 ++++++++++++++++++ .../UserInterfaceState.xcuserstate | Bin 103804 -> 92702 bytes Child Labor/GoodsTableViewController.swift | 6 +- Child Labor/Info.plist | 2 - Child Labor/countries_2016.xml | 138 ++++++++--------- .../icons_A\303\247a\303\255-33@2x.png" | Bin 0 -> 6440 bytes .../icons_A\303\247a\303\255-33@3x.png" | Bin 0 -> 11375 bytes "Child Labor/icons_A\303\247a\303\255.png" | Bin 0 -> 478123 bytes .../icons_Crude_Palm_Kernel_Oil-33@2x.png | Bin 0 -> 5684 bytes .../icons_Crude_Palm_Kernel_Oil-33@3x.png | Bin 0 -> 9332 bytes Child Labor/icons_Crude_Palm_Kernel_Oil.png | Bin 0 -> 349698 bytes Child Labor/icons_Crude_Palm_Oil-33@2x.png | Bin 0 -> 5684 bytes Child Labor/icons_Crude_Palm_Oil-33@3x.png | Bin 0 -> 9332 bytes Child Labor/icons_Crude_Palm_Oil.png | Bin 0 -> 349698 bytes Child Labor/icons_Dairy_Products-33@2x.png | Bin 0 -> 7064 bytes Child Labor/icons_Dairy_Products-33@3x.png | Bin 0 -> 12380 bytes Child Labor/icons_Dairy_Products.png | Bin 0 -> 508973 bytes Child Labor/icons_Ingots-33@2x.png | Bin 0 -> 5905 bytes Child Labor/icons_Ingots-33@3x.png | Bin 0 -> 9724 bytes Child Labor/icons_Ingots.png | Bin 0 -> 350403 bytes Child Labor/icons_Lithium-33@2x.png | Bin 0 -> 5544 bytes Child Labor/icons_Lithium-33@3x.png | Bin 0 -> 8739 bytes Child Labor/icons_Lithium.png | Bin 0 -> 281126 bytes Child Labor/icons_Oleochemicals-33@2x.png | Bin 0 -> 6521 bytes Child Labor/icons_Oleochemicals-33@3x.png | Bin 0 -> 11031 bytes Child Labor/icons_Oleochemicals.png | Bin 0 -> 465163 bytes .../icons_Refined_Palm_Kernel_Oil-33@2x.png | Bin 0 -> 5411 bytes .../icons_Refined_Palm_Kernel_Oil-33@3x.png | Bin 0 -> 8933 bytes Child Labor/icons_Refined_Palm_Kernel_Oil.png | Bin 0 -> 344451 bytes Child Labor/icons_Refined_Palm_Oil-33@2x.png | Bin 0 -> 5411 bytes Child Labor/icons_Refined_Palm_Oil-33@3x.png | Bin 0 -> 8933 bytes Child Labor/icons_Refined_Palm_Oil.png | Bin 0 -> 344451 bytes Child Labor/icons_Solar_Cells-33@2x.png | Bin 0 -> 5094 bytes Child Labor/icons_Solar_Cells-33@3x.png | Bin 0 -> 7717 bytes Child Labor/icons_Solar_Cells.png | Bin 0 -> 223532 bytes Child Labor/icons_Solar_Modules-33@2x.png | Bin 0 -> 6719 bytes Child Labor/icons_Solar_Modules-33@3x.png | Bin 0 -> 10586 bytes Child Labor/icons_Solar_Modules.png | Bin 0 -> 365026 bytes Child Labor/icons_Wafers-33@2x.png | Bin 0 -> 2722 bytes Child Labor/icons_Wafers-33@3x.png | Bin 0 -> 3787 bytes Child Labor/icons_Wafers.png | Bin 0 -> 88159 bytes charts/AssesmentsPieChartViewController.xib | 8 +- 42 files changed, 220 insertions(+), 78 deletions(-) create mode 100644 "Child Labor/icons_A\303\247a\303\255-33@2x.png" create mode 100644 "Child Labor/icons_A\303\247a\303\255-33@3x.png" create mode 100644 "Child Labor/icons_A\303\247a\303\255.png" create mode 100644 Child Labor/icons_Crude_Palm_Kernel_Oil-33@2x.png create mode 100644 Child Labor/icons_Crude_Palm_Kernel_Oil-33@3x.png create mode 100644 Child Labor/icons_Crude_Palm_Kernel_Oil.png create mode 100644 Child Labor/icons_Crude_Palm_Oil-33@2x.png create mode 100644 Child Labor/icons_Crude_Palm_Oil-33@3x.png create mode 100644 Child Labor/icons_Crude_Palm_Oil.png create mode 100644 Child Labor/icons_Dairy_Products-33@2x.png create mode 100644 Child Labor/icons_Dairy_Products-33@3x.png create mode 100644 Child Labor/icons_Dairy_Products.png create mode 100644 Child Labor/icons_Ingots-33@2x.png create mode 100644 Child Labor/icons_Ingots-33@3x.png create mode 100644 Child Labor/icons_Ingots.png create mode 100644 Child Labor/icons_Lithium-33@2x.png create mode 100644 Child Labor/icons_Lithium-33@3x.png create mode 100644 Child Labor/icons_Lithium.png create mode 100644 Child Labor/icons_Oleochemicals-33@2x.png create mode 100644 Child Labor/icons_Oleochemicals-33@3x.png create mode 100644 Child Labor/icons_Oleochemicals.png create mode 100644 Child Labor/icons_Refined_Palm_Kernel_Oil-33@2x.png create mode 100644 Child Labor/icons_Refined_Palm_Kernel_Oil-33@3x.png create mode 100644 Child Labor/icons_Refined_Palm_Kernel_Oil.png create mode 100644 Child Labor/icons_Refined_Palm_Oil-33@2x.png create mode 100644 Child Labor/icons_Refined_Palm_Oil-33@3x.png create mode 100644 Child Labor/icons_Refined_Palm_Oil.png create mode 100644 Child Labor/icons_Solar_Cells-33@2x.png create mode 100644 Child Labor/icons_Solar_Cells-33@3x.png create mode 100644 Child Labor/icons_Solar_Cells.png create mode 100644 Child Labor/icons_Solar_Modules-33@2x.png create mode 100644 Child Labor/icons_Solar_Modules-33@3x.png create mode 100644 Child Labor/icons_Solar_Modules.png create mode 100644 Child Labor/icons_Wafers-33@2x.png create mode 100644 Child Labor/icons_Wafers-33@3x.png create mode 100644 Child Labor/icons_Wafers.png diff --git a/Child Labor.xcodeproj/project.pbxproj b/Child Labor.xcodeproj/project.pbxproj index 4518d4a..9b439b8 100755 --- a/Child Labor.xcodeproj/project.pbxproj +++ b/Child Labor.xcodeproj/project.pbxproj @@ -103,6 +103,42 @@ 66A928E524FE860500F0C226 /* Gambia,_The.png in Resources */ = {isa = PBXBuildFile; fileRef = 66A928E424FE860500F0C226 /* Gambia,_The.png */; }; 66A928E924FEABD300F0C226 /* arrow.png in Resources */ = {isa = PBXBuildFile; fileRef = 66A928E824FEABD300F0C226 /* arrow.png */; }; 66BB45E324DDA90B001FD519 /* Burma-map.png in Resources */ = {isa = PBXBuildFile; fileRef = 66BB45E224DDA90A001FD519 /* Burma-map.png */; }; + 66C225C9289D936D004EADF8 /* icons_Oleochemicals-33@2x.png in Resources */ = {isa = PBXBuildFile; fileRef = 66C225A5289D9369004EADF8 /* 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*/, + 66C225E0289D936D004EADF8 /* icons_Wafers-33@2x.png in Resources */, EDE89E9F21383D9000A70A00 /* icons_Poppies.png in Resources */, 8356185D1BD7DE79007BCF75 /* Kazakhstan.pdf in Resources */, 83AD12721B668E71004B92D3 /* icons_Diamonds-33@3x.png in Resources */, @@ -3811,6 +3926,7 @@ 38CA953E1D4BAF2400319316 /* goods_2016.xml in Resources */, 8356188F1BD7DE79007BCF75 /* Sri Lanka.pdf in Resources */, 8335AF6E1B667963000748F0 /* icons_Silver.png in Resources */, + 66C225CF289D936D004EADF8 /* icons_Açaí-33@3x.png in Resources */, 8303DFA61B41F21A00E4FD42 /* Mauritania-map.png in Resources */, 83AD12AA1B668E71004B92D3 /* icons_Pyrotechnics-33@3x.png in Resources */, 8303DF641B41F21A00E4FD42 /* Argentina-map.png in Resources */, @@ -3831,6 +3947,7 @@ 83AD138E1B669137004B92D3 /* icons_Embellished_Textiles-33@2x.png in Resources */, 8335AF2A1B667963000748F0 /* icons_Chile_Peppers.png in Resources */, 380048831D8B993D00E64714 /* ToolkitForResponsibleBusinesses-lo.pdf in Resources */, + 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icons_Solar_Modules-33@3x.png in Resources */, 835618A71BD7DE79007BCF75 /* Zimbabwe.pdf in Resources */, 8335AF901B667F3C000748F0 /* icons_Fluorspar_(mineral).png in Resources */, 83AD13AC1B669137004B92D3 /* icons_Leather_Goods_Accessories-33@2x.png in Resources */, + 66C225C9289D936D004EADF8 /* icons_Oleochemicals-33@2x.png in Resources */, 83AD129D1B668E71004B92D3 /* icons_Khat_Miraa_(stimulant_plant)-33@3x.png in Resources */, 8310FED81ABB11310025F7AE /* Laos.png in Resources */, 8310FF161ABB11310025F7AE /* Saint_Pierre.png in Resources */, @@ -4129,6 +4251,7 @@ 38CA953C1D4BAEF200319316 /* countries_2016.xml in Resources */, 8310FED21ABB11310025F7AE /* Jordan.png in Resources */, 83AD12B71B668E71004B92D3 /* icons_Sisal-33@3x.png in Resources */, + 66C225E9289D936D004EADF8 /* icons_Ingots-33@3x.png in Resources */, 8335AF341B667963000748F0 /* icons_Cotton.png in Resources */, 8310FF0B1ABB11310025F7AE /* Pitcairn_Islands.png in Resources */, 8303DFB31B41F21A00E4FD42 /* Pakistan-map.png in Resources */, @@ -4141,6 +4264,8 @@ 83AD125D1B668E71004B92D3 /* icons_Cattle-33@3x.png in Resources */, 8335AF8A1B667ED4000748F0 /* icons_Tantalum_ore_(coltan).png in Resources */, 83AD13CF1B669137004B92D3 /* icons_Sisal-33@2x.png in Resources */, + 66C225D3289D936D004EADF8 /* icons_Solar_Modules.png in Resources */, + 66C225D8289D936D004EADF8 /* icons_Oleochemicals.png in Resources */, 83AD13B21B669137004B92D3 /* icons_Meat-33@2x.png in Resources */, 8335AF7A1B667963000748F0 /* icons_Textiles.png in Resources */, 6682423A24E70B5F009B203E /* icons_Tomato_Products.png in Resources */, @@ -4183,6 +4308,7 @@ 835618851BD7DE79007BCF75 /* Samoa.pdf in Resources */, 83AD125F1B668E71004B92D3 /* icons_Ceramics-33@3x.png in Resources */, 8303DF851B41F21A00E4FD42 /* El Salvador-map.png in Resources */, + 66C225E6289D936D004EADF8 /* icons_Crude_Palm_Oil-33@2x.png in Resources */, 83B3E9801B3B4FFD00742BC7 /* man@3x.png in Resources */, EDF0416A20EFAA1000506499 /* icons_Cabbages-33@3x.png in Resources */, 8303DF751B41F21A00E4FD42 /* Cabo Verde-map.png in Resources */, @@ -4199,6 +4325,7 @@ 83AD13751B669137004B92D3 /* icons_Cattle-33@2x.png in Resources */, 8356185A1BD7DE79007BCF75 /* Iraq.pdf in Resources */, 8335AF8C1B667EEC000748F0 /* icons_Cottonseed_(hybrid).png in Resources */, + 66C225D1289D936D004EADF8 /* icons_Refined_Palm_Oil-33@2x.png in Resources */, 8310FF2D1ABB11310025F7AE /* Eswatini.png in Resources */, 8303DF7A1B41F21A00E4FD42 /* Comoros-map.png in Resources */, 8303DFC61B41F21A00E4FD42 /* St. Kitts-map.png in Resources */, @@ -4220,6 +4347,7 @@ 8310FEC21ABB11310025F7AE /* Guinea.png in Resources */, 8303DFCF1B41F21A00E4FD42 /* Trinidad and Tobago-map.png in Resources */, 8303DF9E1B41F21A00E4FD42 /* Lebanon-map.png in Resources */, + 66C225DA289D936D004EADF8 /* icons_Refined_Palm_Oil-33@3x.png in Resources */, EDE89EA221383D9000A70A00 /* icons_Poppies-33@2x.png in Resources */, 8335AF9E1B668002000748F0 /* icons_Physic_Nuts_Castor_Beans.png in Resources */, EDF0414820EFA7F700506499 /* icons_Amber-33@2x.png in Resources */, @@ -4259,6 +4387,7 @@ 6682425824E70BED009B203E /* icons_Gloves-33@2x.png in Resources */, 8335AF361B667963000748F0 /* icons_Cumin.png in Resources */, EDE89EA821383E5F00A70A00 /* icons_Beans-33@2x.png in Resources */, + 66C225D7289D936D004EADF8 /* icons_Dairy_Products.png in Resources */, 8310FF1F1ABB11310025F7AE /* Sierra_Leone.png in Resources */, 835618571BD7DE79007BCF75 /* Honduras.pdf in Resources */, 83AD127C1B668E71004B92D3 /* icons_Flowers-33@3x.png in Resources */, @@ -4267,6 +4396,7 @@ 83AD125A1B668E71004B92D3 /* icons_Cashews-33@3x.png in Resources */, 8303DFA21B41F21A00E4FD42 /* Madagascar-map.png in Resources */, 835618221BD7DE79007BCF75 /* Angola.pdf in Resources */, + 66C225CE289D936D004EADF8 /* icons_Lithium-33@3x.png in Resources */, 8310FEEE1ABB11310025F7AE /* Micronesia.png in Resources */, 83AD12851B668E71004B92D3 /* icons_Glass_Bangles-33@3x.png in Resources */, 8335AF811B667963000748F0 /* icons_Wheat.png in Resources */, @@ -4378,6 +4508,7 @@ 38CA954C1D4FF4F200319316 /* icons_Pepper-33@3x.png in Resources */, 8335AF671B667963000748F0 /* icons_Salt.png in Resources */, 83AD138B1B669137004B92D3 /* icons_Dried_Fish-33@2x.png in Resources */, + 66C225DE289D936D004EADF8 /* icons_Solar_Cells-33@2x.png in Resources */, 83AD12791B668E71004B92D3 /* icons_Fireworks-33@3x.png in Resources */, 8356183C1BD7DE79007BCF75 /* Colombia.pdf in Resources */, 1334AC92283BC367000F647E /* CustomColorCodeCollectionViewCell.xib in Resources */, @@ -4388,6 +4519,7 @@ 83AD12C01B668E71004B92D3 /* icons_Sugarcane-33@3x.png in Resources */, 835618251BD7DE79007BCF75 /* Armenia.pdf in Resources */, 8303DFCE1B41F21A00E4FD42 /* Tonga-map.png in Resources */, + 66C225DF289D936D004EADF8 /* icons_Solar_Modules-33@2x.png in Resources */, 835618711BD7DE79007BCF75 /* Mozambique.pdf in Resources */, 835618761BD7DE79007BCF75 /* Nigeria.pdf in Resources */, 8310FF021ABB11310025F7AE /* Norway.png in Resources */, @@ -4396,6 +4528,7 @@ 8310FE7F1ABB11310025F7AE /* Bangladesh.png in Resources */, 8335AF441B667963000748F0 /* icons_Garlic.png in Resources */, 664C9DD924B8FA210072C977 /* icons_Khat_Miraa.png in Resources */, + 66C225DB289D936D004EADF8 /* icons_Refined_Palm_Kernel_Oil-33@2x.png in Resources */, 8303DFB01B41F21A00E4FD42 /* Niger-map.png in Resources */, 8310FF441ABB11310025F7AE /* Uruguay.png in Resources */, 8335AF3D1B667963000748F0 /* icons_Fashion_Accessories.png in Resources */, @@ -4403,14 +4536,17 @@ 8310FE921ABB11310025F7AE /* Canada.png in Resources */, 835618311BD7DE79007BCF75 /* British Virgin Islands.pdf in Resources */, 8310FF191ABB11310025F7AE /* San_Marino.png in Resources */, + 66C225D9289D936D004EADF8 /* icons_Açaí-33@2x.png in Resources */, 8303DFAD1B41F21A00E4FD42 /* Namibia-map.png in Resources */, 83AD12841B668E71004B92D3 /* icons_Gems-33@3x.png in Resources */, + 66C225D2289D936D004EADF8 /* icons_Solar_Cells.png in Resources */, ED2D4CFB1F60775A00DF1C45 /* Intro to OCFT.pdf in Resources */, 6682425C24E7205B009B203E /* icons_Gloves.png in Resources */, 8303DF891B41F21A00E4FD42 /* Gabon-map.png in Resources */, 8310FEF11ABB11310025F7AE /* Mongolia.png in Resources */, 8356185C1BD7DE79007BCF75 /* Jordan.pdf in Resources */, 83AD13EB1B669137004B92D3 /* icons_Tungsten_ore_(wolframite)-33@2x.png in Resources */, + 66C225CB289D936D004EADF8 /* icons_Ingots.png in Resources */, 8303DFA31B41F21A00E4FD42 /* Malawi-map.png in Resources */, 835618531BD7DE79007BCF75 /* Guinea-Bissau.pdf in Resources */, 8335AF7E1B667963000748F0 /* icons_Tomatoes.png in Resources */, @@ -4444,6 +4580,7 @@ 83AD13901B669137004B92D3 /* icons_Fashion_Accessories-33@2x.png in Resources */, 8303DFA41B41F21A00E4FD42 /* Maldives-map.png in Resources */, 83AD12AF1B668E71004B92D3 /* icons_Sand-33@3x.png in Resources */, + 66C225E2289D936D004EADF8 /* icons_Solar_Cells-33@3x.png in Resources */, 83AD137C1B669137004B92D3 /* icons_Citrus_Fruits-33@2x.png in Resources */, 8303DFBC1B41F21A00E4FD42 /* Sao Tome and Principe-map.png in Resources */, 83AD12B21B668E71004B92D3 /* icons_Shellfish-33@3x.png in Resources */, @@ -4466,6 +4603,7 @@ 83AD12741B668E71004B92D3 /* icons_Eggplants-33@3x.png in Resources */, 8310FE761ABB11310025F7AE /* Antigua_and_Barbuda.png in Resources */, 8335AF381B667963000748F0 /* icons_Dried_Fish.png in Resources */, + 66C225CC289D936D004EADF8 /* icons_Açaí.png in Resources */, 8335AFBE1B668253000748F0 /* icons_Pulses_(legumes).png in Resources */, 835618641BD7DE79007BCF75 /* Liberia.pdf in Resources */, 83AD12C61B668E71004B92D3 /* icons_Textiles_(hand-woven)-33@3x.png in Resources */, @@ -4474,6 +4612,7 @@ 8303DFCB1B41F21A00E4FD42 /* Tanzania-map.png in Resources */, 83AD13D71B669137004B92D3 /* icons_Sugar_Beets-33@2x.png in Resources */, 8303DF991B41F21A00E4FD42 /* Kazakhstan-map.png in Resources */, + 66C225DD289D936D004EADF8 /* icons_Refined_Palm_Oil.png in Resources */, 83AD13DC1B669137004B92D3 /* icons_Tea-33@2x.png in Resources */, 835618461BD7DE79007BCF75 /* Ecuador.pdf in Resources */, 83AD138F1B669137004B92D3 /* icons_Emeralds-33@2x.png in Resources */, @@ -4488,6 +4627,7 @@ 83AD12AB1B668E71004B92D3 /* icons_Rice-33@3x.png in Resources */, 8310FEF81ABB11310025F7AE /* Nepal.png in Resources */, 835618651BD7DE79007BCF75 /* Macedonia.pdf in Resources */, + 66C225D0289D936D004EADF8 /* icons_Crude_Palm_Oil.png in Resources */, 66A928E524FE860500F0C226 /* Gambia,_The.png in Resources */, 83AD12A41B668E71004B92D3 /* icons_Peanuts-33@3x.png in Resources */, 83AD139B1B669137004B92D3 /* icons_Garments-33@2x.png in Resources */, @@ -4521,6 +4661,7 @@ EDE89EA121383D9000A70A00 /* icons_Lettuce-33@3x.png in Resources */, 8310FEBC1ABB11310025F7AE /* Greece.png in Resources */, 83AD12541B668E71004B92D3 /* icons_Brassware-33@3x.png in Resources */, + 66C225E4289D936D004EADF8 /* icons_Refined_Palm_Kernel_Oil.png in Resources */, 8335AFBC1B6681FB000748F0 /* icons_Textiles_(hand-woven).png in Resources */, 8303DFBD1B41F21A00E4FD42 /* Senegal-map.png in Resources */, 8310FED31ABB11310025F7AE /* Kazakhstan.png in Resources */, @@ -4537,6 +4678,7 @@ 8303DFD61B41F21A00E4FD42 /* Uzbekistan-map.png in Resources */, 8335AF2F1B667963000748F0 /* icons_Cocoa.png in Resources */, EDF0415E20EFA95D00506499 /* icons_Peppers-33@2x.png in Resources */, + 66C225E7289D936D004EADF8 /* icons_Oleochemicals-33@3x.png in Resources */, 8356189E1BD7DE79007BCF75 /* Uruguay.pdf in Resources */, 8310FF091ABB11310025F7AE /* Peru.png in Resources */, 8310FE701ABB11310025F7AE /* Albania.png in Resources */, @@ -4552,6 +4694,7 @@ 8310FF0A1ABB11310025F7AE /* Philippines.png in Resources */, 83AD12661B668E71004B92D3 /* icons_Coal-33@3x.png in Resources */, 8335AFA41B66807D000748F0 /* icons_Stones_(pumice).png in Resources */, + 66C225D5289D936D004EADF8 /* icons_Crude_Palm_Oil-33@3x.png in Resources */, 835618A51BD7DE79007BCF75 /* Yemen.pdf in 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UIInterfaceOrientationLandscapeLeft - UIInterfaceOrientationLandscapeRight UISupportedInterfaceOrientations~ipad diff --git a/Child Labor/countries_2016.xml b/Child Labor/countries_2016.xml index 2b5c189..aa22093 100644 --- a/Child Labor/countries_2016.xml +++ b/Child Labor/countries_2016.xml @@ -7483,6 +7483,22 @@ No No + + Ingots + No + No + No + Yes + China + + + Lithium + No + No + No + Yes + Congo, Democratic Republic of the + Nails No @@ -7499,6 +7515,22 @@ No No + + Solar Cells + No + No + No + Yes + China + + + Solar Modules + No + No + No + Yes + China + Textiles Yes @@ -7531,38 +7563,6 @@ No No - - Ingots - No - No - No - Yes - China - - - Lithium - No - No - No - Yes - Congo, Democratic Republic of the - - - Solar Cells - No - No - No - Yes - China - - - Solar Modules - No - No - No - Yes - China - Wafers No @@ -15466,6 +15466,22 @@ Moderate Advancement In 2021, Indonesia made moderate advancement in efforts to eliminate the worst forms of child labor. The Ministry of Women Empowerment and Child Protection launched a hotline to connect with child labor or child trafficking survivors requiring outreach, case management, shelter, mediation, and victim services. The government also issued Regulation No. 78/2021 on the Special Protection on Children, which requires the central and regional governments to provide comprehensive protection to children who are survivors of the worst forms of child labor, as well as children from minority groups and with disabilities. In addition, the Ministry of Manpower employed 1,503 labor inspectors in 2021, up from 1,352 labor inspectors in 2020. However, children in Indonesia are subjected to the worst forms of child labor, including in commercial sexual exploitation, sometimes as a result of human trafficking. Children also perform dangerous tasks in plantation agriculture, including in palm oil and tobacco production. The Ministry of Manpower continued to lack the financial resources and personnel necessary to fully enforce child labor laws throughout the country. + + Crude Palm Oil + No + No + No + Yes + Indonesia + + + Crude Palm Kernel Oil + No + No + No + Yes + Indonesia + Fish Yes @@ -15499,31 +15515,15 @@ No - Rubber - Yes - No - No - No - No - - - Tobacco - Yes - No - No - No - No - - - Tin - Yes + Oleochemicals + No No No - No - No + Yes + Indonesia - Crude Palm Oil + Refined Palm Oil No No No @@ -15531,7 +15531,7 @@ Indonesia - Crude Palm Kernel Oil + Refined Palm Kernel Oil No No No @@ -15539,28 +15539,28 @@ Indonesia - Refined Palm Oil - No + Rubber + Yes No No - Yes - Indonesia + No + No - Refined Palm Kernel Oil - No + Tobacco + Yes No No - Yes - Indonesia + No + No - Oleochemicals - No + Tin + Yes No No - Yes - Indonesia + No + No @@ -31023,7 +31023,7 @@ No - Tea + Tanzanite (gems) Yes No No @@ -31031,7 +31031,7 @@ No - Tobacco + Tea Yes No No @@ -31039,7 +31039,7 @@ No - Tanzanite 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diff --git a/charts/AssesmentsPageViewController.swift b/charts/AssesmentsPageViewController.swift index 58cd202..3eecae3 100644 --- a/charts/AssesmentsPageViewController.swift +++ b/charts/AssesmentsPageViewController.swift @@ -24,11 +24,11 @@ class AssesmentsPageViewController: UIPageViewController { private var currentIndex: Int = 0 private var advancementsArr: [AssesmentPageDetails] = [AssesmentPageDetails]() - var colorCodes = ["Moderate Advancement" : UIColor(red: 57.0/255.0, green: 89.0/255.0, blue: 122.0/255.0, alpha: 1), - "Minimal Advancement" : UIColor(red: 147.0/255.0, green: 78.0/255.0, blue: 80.0/255.0, alpha: 1), - "No Assessment" : UIColor(red: 108.0/255.0, green: 129.0/255.0, blue: 79.0/255.0, alpha: 1), - "No Advancement" : UIColor(red: 218.0/255.0, green: 142.0/255.0, blue: 57.0/255.0, alpha: 1), - "Significant Advancement" : UIColor(red: 130.0/255.0, green: 152.0/255.0, blue: 143.0/255.0, alpha: 1)] + var colorCodes = ["Moderate Advancement" : UIColor(red: 106.0/255.0, green: 196.0/255.0, blue: 183.0/255.0, alpha: 1), + "Minimal Advancement" : UIColor(red: 254.0/255.0, green: 194.0/255.0, blue: 49.0/255.0, alpha: 1), + "No Assessment" : UIColor(red: 63.0/255.0, green: 81.0/255.0, blue: 163.0/255.0, alpha: 1), + "No Advancement" : UIColor(red: 202.0/255.0, green: 31.0/255.0, blue: 65.0/255.0, alpha: 1), + "Significant Advancement" : UIColor(red: 168.0/255.0, green: 207.0/255.0, blue: 64.0/255.0, alpha: 1)] var goodsSectors = Dictionary() override func viewDidLoad() { From 99cc691298e7f660be35b848306d4d82365029ca Mon Sep 17 00:00:00 2001 From: Gnanendra18 Date: Wed, 10 Aug 2022 21:52:49 +0530 Subject: [PATCH 5/8] Exploitation changes --- .../UserInterfaceState.xcuserstate | Bin 144047 -> 145638 bytes Child Labor/Base.lproj/Main.storyboard | 24 +++-- Child Labor/CustomExtensions.swift | 24 +++++ Child Labor/GoodController.swift | 78 +++++++++++--- ExploitationTableViewController.swift | 95 ++++++++++++++++-- 5 files changed, 195 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GoodController: UITableViewController { cell.accessibilityElementsHidden = true; } case 4: - cl?.isHidden = true + cl?.isHidden = false fl?.isHidden = true if #available(iOS 13.0, *) { clImage?.image = UIImage(systemName: "flag.fill") } - clImage?.tintColor = .orange + clImage?.tintColor = .red clLabel?.text = "" clLabel?.accessibilityLabel = "Derived Labor" diff --git a/ExploitationTableViewController.swift b/ExploitationTableViewController.swift index 12976c6..b049c5c 100755 --- a/ExploitationTableViewController.swift +++ b/ExploitationTableViewController.swift @@ -187,6 +187,8 @@ class ExploitationTableViewController: UITableViewController, UICollectionViewDa exploitationWithDerivedLabor.add(1) } else if childLaborStatusForGood == "Yes" && forcedLaborStatusForGood == "Yes" && forcedChildLaborStatusForGood == "No" { exploitationWithDerivedLabor.add(2) + } else if childLaborStatusForGood == "No" && forcedLaborStatusForGood == "No" && forcedChildLaborStatusForGood == "No" { + exploitationWithDerivedLabor.add(4) } else { exploitationWithDerivedLabor.add(3) } @@ -314,9 +316,6 @@ class ExploitationTableViewController: UITableViewController, UICollectionViewDa theCollectionView!.tag = indexPath.row theCollectionView?.reloadData() - let clImage : UIImageView? = theCollectionView?.viewWithTag(202) as? UIImageView - let flImage : UIImageView? = theCollectionView?.viewWithTag(203) as? UIImageView - switch state { case 0: // Set the country name @@ -346,9 +345,6 @@ class ExploitationTableViewController: UITableViewController, UICollectionViewDa theCount?.text = goodsCountByDerivedLaborCountry[indexPath.row] as? String theCount?.accessibilityLabel = (countriesWithDerivedLabor[indexPath.row] as? String)! + " has " + (goodsCountByDerivedLaborCountry[indexPath.row] as? String)! + " goods of Derived Labor exploitation type " + "\(goodsWithDerivedLaborByCountry[countriesWithForcedLabor[indexPath.row] as! String]?.componentsJoined(by: " ") ?? "")" - clImage?.isHidden = true - flImage?.isHidden = true - default: // Set the country name theLabel?.text = countriesWithForcedChildLabor[indexPath.row] as? String @@ -445,18 +441,21 @@ class ExploitationTableViewController: UITableViewController, UICollectionViewDa goodButton?.accessibilityLabel = goodName+" Forced Labor" cell.accessibilityLabel = goodName+" Forced Labor" fl?.isHidden = false + fl?.image = UIImage(named: "man") case 2: cl?.isHidden = false cl?.image = UIImage(named: "hand") goodButton?.accessibilityLabel = goodName+" Forced Child Labor" cell.accessibilityLabel = goodName+" Forced Child Labor" fl?.isHidden = false + fl?.image = UIImage(named: "man") case 3: cl?.isHidden = false cl?.image = UIImage(named: "hand-black") goodButton?.accessibilityLabel = goodName+" Forced Child Labor" cell.accessibilityLabel = goodName+" Forced Child Labor" fl?.isHidden = false + fl?.image = UIImage(named: "man") case 4: goodButton?.accessibilityLabel = goodName+" Derived Labor" cell.accessibilityLabel = goodName+" Derived Labor" @@ -466,7 +465,7 @@ class ExploitationTableViewController: UITableViewController, UICollectionViewDa if (flagImage != nil) { fl?.image = flagImage } - + default: cell.accessibilityLabel = goodName+" Forced Child Labor" break From 9683bf0e1a4b3f45a5969c457575ad275497bd79 Mon Sep 17 00:00:00 2001 From: Gnanendra18 Date: Thu, 11 Aug 2022 20:16:35 +0530 Subject: [PATCH 7/8] derived labor image changed --- Child Labor.xcodeproj/project.pbxproj | 4 ++++ .../UserInterfaceState.xcuserstate | Bin 149952 -> 155313 bytes Child Labor/Base.lproj/Main.storyboard | 7 ++++--- Child Labor/GoodController.swift | 2 +- Child Labor/derived_labor.png | Bin 0 -> 3274 bytes ExploitationTableViewController.swift | 2 +- 6 files changed, 10 insertions(+), 5 deletions(-) create mode 100644 Child Labor/derived_labor.png diff --git a/Child Labor.xcodeproj/project.pbxproj b/Child Labor.xcodeproj/project.pbxproj index 9b439b8..97e0150 100755 --- a/Child Labor.xcodeproj/project.pbxproj +++ b/Child Labor.xcodeproj/project.pbxproj @@ -31,6 +31,7 @@ 1334AC97283BC372000F647E /* CustomExtensions.swift in Sources */ = {isa = PBXBuildFile; fileRef = 1334AC96283BC372000F647E /* CustomExtensions.swift */; }; 1334AC992841028D000F647E /* GoodsParser.swift in Sources */ = {isa = PBXBuildFile; fileRef = 1334AC982841028C000F647E /* GoodsParser.swift */; }; 1334AC9B28410338000F647E /* Constants.swift in Sources */ = {isa = PBXBuildFile; fileRef = 1334AC9A28410338000F647E /* Constants.swift */; }; + 1358B28328A54D7000A8072C /* derived_labor.png in Resources */ = {isa = PBXBuildFile; fileRef = 1358B28228A54D7000A8072C /* derived_labor.png */; }; 136829B0286CA84C0083D8E4 /* CustomLabel.swift in Sources */ = {isa = PBXBuildFile; fileRef = 136829AF286CA84C0083D8E4 /* CustomLabel.swift */; }; 136829B2287C58610083D8E4 /* AssesmentLevelParser.swift in Sources */ = {isa = PBXBuildFile; fileRef = 136829B1287C58610083D8E4 /* AssesmentLevelParser.swift */; }; 136829B4287C58720083D8E4 /* AssesmentsPieChartViewController.xib in Resources */ = {isa = PBXBuildFile; fileRef = 136829B3287C58720083D8E4 /* AssesmentsPieChartViewController.xib */; }; @@ -1186,6 +1187,7 @@ 1334AC96283BC372000F647E /* CustomExtensions.swift */ = {isa = PBXFileReference; fileEncoding = 4; lastKnownFileType = sourcecode.swift; path = CustomExtensions.swift; sourceTree = ""; }; 1334AC982841028C000F647E /* GoodsParser.swift */ = {isa = PBXFileReference; fileEncoding = 4; lastKnownFileType = sourcecode.swift; path = GoodsParser.swift; sourceTree = ""; }; 1334AC9A28410338000F647E /* Constants.swift */ = {isa = PBXFileReference; fileEncoding = 4; lastKnownFileType = sourcecode.swift; path = Constants.swift; sourceTree = ""; }; + 1358B28228A54D7000A8072C /* derived_labor.png */ = {isa = PBXFileReference; lastKnownFileType = image.png; path = derived_labor.png; sourceTree = ""; }; 136829AF286CA84C0083D8E4 /* CustomLabel.swift */ = {isa = PBXFileReference; lastKnownFileType = sourcecode.swift; path = CustomLabel.swift; sourceTree = ""; }; 136829B1287C58610083D8E4 /* AssesmentLevelParser.swift */ = {isa = PBXFileReference; fileEncoding = 4; lastKnownFileType = sourcecode.swift; path = AssesmentLevelParser.swift; sourceTree = ""; }; 136829B3287C58720083D8E4 /* AssesmentsPieChartViewController.xib */ = {isa = PBXFileReference; fileEncoding = 4; lastKnownFileType = file.xib; path = AssesmentsPieChartViewController.xib; sourceTree = ""; }; @@ -3532,6 +3534,7 @@ 83B05CD41B9F1DE400A0F53A /* complete_goods_by_good.xml */, 380048811D8B993D00E64714 /* ToolkitForResponsibleBusinesses-lo.pdf */, 38CA953D1D4BAF2400319316 /* goods_2016.xml */, + 1358B28228A54D7000A8072C /* derived_labor.png */, 380048721D8B991C00E64714 /* Fact Sheet-OFCT-2016-lo.pdf */, ED16FC2E1F5886F100B9F937 /* icon-60@3x.png */, 380048731D8B991C00E64714 /* TDA.pdf */, @@ -3773,6 +3776,7 @@ 8356187B1BD7DE79007BCF75 /* Panama.pdf in Resources */, 835618541BD7DE79007BCF75 /* Guinea.pdf in Resources */, 8335AFB01B668111000748F0 /* icons_Trona_(mineral).png in Resources */, + 1358B28328A54D7000A8072C /* derived_labor.png in Resources 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zM-!geVeSt5=;&l!C|JFg2Y8y-coQ?OcGIi3u$2$l!MC`{)#hGp?$!JF6|;AqfgGKB z?_7#!bawF|-lsXHGMC_)k zFa0=^0o;t|cDcu{NMabuFcL{7m2^fUU)Mx*)injr?=nM|=Xd?Vfzbc{quU|>_pj#< O`@etv|9=kdN&6ptrvrun diff --git a/Child Labor/Base.lproj/Main.storyboard b/Child Labor/Base.lproj/Main.storyboard index 2b6637b..b58bb24 100644 --- a/Child Labor/Base.lproj/Main.storyboard +++ b/Child Labor/Base.lproj/Main.storyboard @@ -1722,7 +1722,7 @@ and School - + @@ -1948,7 +1948,7 @@ and School - + @@ -5993,7 +5993,7 @@ Standards - + @@ -6001,6 +6001,7 @@ Standards + diff --git a/Child Labor/GoodController.swift b/Child Labor/GoodController.swift index d86162f..01fe150 100755 --- a/Child Labor/GoodController.swift +++ b/Child Labor/GoodController.swift @@ -83,7 +83,7 @@ class GoodController: UITableViewController { override func viewWillAppear(_ animated: Bool) { super.viewWillAppear(animated) - self.customizeSegmentControl() + //self.customizeSegmentControl() // Make sure the ugly table cell selection is cleared when returning to this view if let tableIndex = self.tableView.indexPathForSelectedRow { self.tableView.deselectRow(at: tableIndex, animated: false) diff --git a/Child Labor/derived_labor.png b/Child Labor/derived_labor.png new file mode 100644 index 0000000000000000000000000000000000000000..e6ce6ac689578c15c234424e441f59e806f84ccd GIT binary patch literal 3274 zcmd5GICJ*iGxOBK%#f8ufCT^mRwFdZ3e041 znleGbXtca(1SYybE5mC*<*?u?0Kj97P*-h2Zf`mUn{YXCBT{D(#N%xCXly4w;lxpf$O~*@6}KO6yT+!0E8^P zUo#BXgF{{^zXhn6h;k(eM^}_It2|I<3CrWv6d`3Ei{BJvkDJAIdY zPQ~{vky}QfUekXb)wYvT*WT8qnJHt-R$EsWdCpu+-Qw@xym{<`lxyybp)>YvLHEOV z=i_8Q=|mjA%~rbSJ8W$X#RUcRoMA_j(Fe#CEF)3MLq&-C&p$HDOG`#vYTo0LGfh|_ ziQdVITb*NLW6Q4_C?6dfyuZKCy38Mi@lH$;Go1f(dUBV$Ib_%Eg(?BvNn(1#415`anfXQcGD!{k+oEt@*w2Zk z@ueC)(ZTFvs z|I=R<^i^VQG6ITsn2_oLC{&>VN#N*s--mg&(y48}$T$oBMnYWNB_u@6^i^C!p__-`UT2{efLfOe{KPaVSSMC(&7Q8DnOqA`_pG09#&JspIQIuGg2P{rK_2Gch@N#ka+^ z3%YZ7m?f)_ot^z{Wko{qwwW1QYg^knywV(^|0slNw+7NxRO9}1edn#F2UkJA}zHJ=jjT~&(Cu$`T6_PX&6XKOQ-f( 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override func viewWillAppear(_ animated: Bool) { super.viewWillAppear(animated) - self.customizeSegmentControl() + //self.customizeSegmentControl() // Make sure the ugly table cell selection is cleared when returning to this view if let tableIndex = self.tableView.indexPathForSelectedRow { self.tableView.deselectRow(at: tableIndex, animated: false) From b75b528c73e7bc26a61b6fe694b0257b4d3e33c1 Mon Sep 17 00:00:00 2001 From: Gnanendra18 Date: Thu, 11 Aug 2022 23:21:57 +0530 Subject: [PATCH 8/8] Derived labor changes in icons and others --- Child Labor.xcodeproj/project.pbxproj | 28 ++--- .../UserInterfaceState.xcuserstate | Bin 155313 -> 156781 bytes Child Labor/CountryController.swift | 20 ++- Child Labor/GoodController.swift | 30 ++--- Child Labor/{Base.lproj => }/Main.storyboard | 115 +++++++++++++++--- Child Labor/derived_labor.png | Bin 3274 -> 2006 bytes Child Labor/dl_image.png | Bin 0 -> 1765 bytes ExploitationTableViewController.swift | 40 +++--- 8 files changed, 151 insertions(+), 82 deletions(-) rename Child Labor/{Base.lproj => }/Main.storyboard (98%) create mode 100644 Child Labor/dl_image.png diff --git a/Child Labor.xcodeproj/project.pbxproj b/Child Labor.xcodeproj/project.pbxproj index 97e0150..abe3048 100755 --- a/Child Labor.xcodeproj/project.pbxproj +++ b/Child Labor.xcodeproj/project.pbxproj @@ -31,7 +31,9 @@ 1334AC97283BC372000F647E /* CustomExtensions.swift in Sources */ = {isa = PBXBuildFile; fileRef = 1334AC96283BC372000F647E /* CustomExtensions.swift */; }; 1334AC992841028D000F647E /* GoodsParser.swift in Sources */ = {isa = PBXBuildFile; fileRef = 1334AC982841028C000F647E /* GoodsParser.swift */; }; 1334AC9B28410338000F647E /* Constants.swift in Sources */ = {isa = PBXBuildFile; fileRef = 1334AC9A28410338000F647E /* Constants.swift */; }; - 1358B28328A54D7000A8072C /* derived_labor.png in Resources */ = {isa = PBXBuildFile; fileRef = 1358B28228A54D7000A8072C /* derived_labor.png */; }; + 1358B28528A571A700A8072C /* derived_labor.png in Resources */ = {isa = PBXBuildFile; fileRef = 1358B28428A571A700A8072C /* derived_labor.png */; }; + 1358B28728A5750000A8072C /* dl_image.png in Resources */ = {isa = PBXBuildFile; fileRef = 1358B28628A5750000A8072C /* dl_image.png */; }; + 1358B28928A5781700A8072C /* Main.storyboard in Resources */ = {isa = PBXBuildFile; fileRef = 1358B28828A5781600A8072C /* Main.storyboard */; }; 136829B0286CA84C0083D8E4 /* CustomLabel.swift in Sources */ = {isa = PBXBuildFile; fileRef = 136829AF286CA84C0083D8E4 /* CustomLabel.swift */; }; 136829B2287C58610083D8E4 /* AssesmentLevelParser.swift in Sources */ = {isa = PBXBuildFile; fileRef = 136829B1287C58610083D8E4 /* AssesmentLevelParser.swift */; }; 136829B4287C58720083D8E4 /* AssesmentsPieChartViewController.xib in Resources */ = {isa = PBXBuildFile; fileRef = 136829B3287C58720083D8E4 /* AssesmentsPieChartViewController.xib */; }; @@ -780,7 +782,6 @@ 836633B51B2F0734007C127E /* ilab@2x.png in Resources */ = {isa = PBXBuildFile; fileRef = 836633B31B2F0734007C127E /* ilab@2x.png */; }; 837B5D851AAB68F600731F83 /* eo.png in Resources */ = {isa = PBXBuildFile; fileRef = 837B5D841AAB68F600731F83 /* eo.png */; }; 83800C7D1AA4D40300DD47EB /* AppDelegate.swift in Sources */ = {isa = PBXBuildFile; fileRef = 83800C7C1AA4D40300DD47EB /* AppDelegate.swift */; }; - 83800C821AA4D40300DD47EB /* Main.storyboard in Resources */ = {isa = PBXBuildFile; fileRef = 83800C801AA4D40300DD47EB /* Main.storyboard */; }; 83800C841AA4D40300DD47EB /* Images.xcassets in Resources */ = {isa = PBXBuildFile; fileRef = 83800C831AA4D40300DD47EB /* Images.xcassets */; }; 83800C871AA4D40300DD47EB /* LaunchScreen.xib in Resources */ = {isa = PBXBuildFile; fileRef = 83800C851AA4D40300DD47EB /* LaunchScreen.xib */; }; 8386CABF1B516F6C00B5DF1C /* libsqlite3.0.tbd in Frameworks */ = {isa = PBXBuildFile; fileRef = 8386CABE1B516F6C00B5DF1C /* libsqlite3.0.tbd */; }; @@ -1187,7 +1188,9 @@ 1334AC96283BC372000F647E /* CustomExtensions.swift */ = {isa = PBXFileReference; fileEncoding = 4; lastKnownFileType = sourcecode.swift; path = CustomExtensions.swift; sourceTree = ""; }; 1334AC982841028C000F647E /* GoodsParser.swift */ = {isa = PBXFileReference; fileEncoding = 4; lastKnownFileType = sourcecode.swift; path = GoodsParser.swift; sourceTree = ""; }; 1334AC9A28410338000F647E /* Constants.swift */ = {isa = PBXFileReference; fileEncoding = 4; lastKnownFileType = sourcecode.swift; path = Constants.swift; sourceTree = ""; }; - 1358B28228A54D7000A8072C /* derived_labor.png */ = {isa = PBXFileReference; lastKnownFileType = image.png; path = derived_labor.png; sourceTree = ""; }; + 1358B28428A571A700A8072C /* derived_labor.png */ = {isa = PBXFileReference; lastKnownFileType = image.png; path = derived_labor.png; sourceTree = ""; }; + 1358B28628A5750000A8072C /* dl_image.png */ = {isa = PBXFileReference; lastKnownFileType = image.png; path = dl_image.png; sourceTree = ""; }; + 1358B28828A5781600A8072C /* Main.storyboard */ = {isa = 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