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Statistical releaseP3041.2Manufacturing: production and sales July 2003Cooperation between Statistics South Africa (Stats SA), the citizens of the country, the private sector and government institutions
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How to fill out disaggregating sdg data by

01
To fill out disaggregating SDG data, follow these steps:
02
Identify the SDG indicator for which you want to disaggregate the data.
03
Collect the relevant data for the chosen indicator.
04
Determine the disaggregation categories that are relevant for the indicator. This could be based on demographic characteristics, geographical locations, or other relevant criteria.
05
Analyze the data to identify any gaps or missing information that may affect the disaggregation process.
06
Apply the disaggregation categories to the data by assigning each data point to the respective category.
07
Calculate the disaggregated values for each category by summarizing the data within each category.
08
Validate the disaggregated data for accuracy and consistency.
09
Present the disaggregated data in a clear and understandable format, such as charts, tables, or graphs.
10
Monitor and update the disaggregated data regularly to reflect any changes or updates in the underlying data.
11
Use the disaggregated data to inform decision-making, policy development, and monitoring progress towards achieving the SDGs.

Who needs disaggregating sdg data by?

01
Disaggregating SDG data is valuable for various stakeholders including:
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- Governments and policy-makers: Disaggregated data helps in designing and evaluating targeted policies and programs to address specific needs and inequalities within the population.
03
- Non-governmental organizations (NGOs) and civil society organizations: Disaggregated data enables them to advocate for marginalized groups and monitor progress towards achieving the SDGs at a local level.
04
- Researchers and academics: Disaggregated data can be used for research purposes to study patterns, trends, and disparities in various social dimensions.
05
- International organizations and development agencies: Disaggregated data supports evidence-based decision-making and helps in targeting resources and interventions effectively.
06
- Businesses and private sector: Disaggregated data can inform sustainable business strategies and help identify market opportunities in addressing specific needs and gaps within the population.
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Disaggregating SDG data refers to breaking down data related to the Sustainable Development Goals by different variables such as age, gender, income, geographic location, and other relevant categories to ensure comprehensive analysis and understanding of the data.
Entities involved in reporting on SDGs, including governments, international organizations, and NGOs, are typically required to file disaggregated SDG data as part of their commitments to the 2030 Agenda for Sustainable Development.
To fill out disaggregated SDG data, collect relevant data based on specified categories, ensure accuracy, and then input the data into the designated reporting framework or platform while adhering to guidelines provided by relevant authorities.
The purpose of disaggregating SDG data is to identify inequalities, track progress across various demographics, and inform policy decisions by providing a clearer picture of how different groups are affected by development initiatives.
The information that must be reported includes quantitative and qualitative data on specific indicators under the SDGs, broken down by categories such as age, gender, location, and socioeconomic status, as well as contextual information where necessary.
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