World Bank MDG Dataset 1990-2014

Columns

• MDG_Country-Series.csv:
  • CountryCode: A unique code identifying each country associated with a series.
  • SeriesCode: A unique code representing a specific data series.
  • DESCRIPTION: A textual description of the data series.
• MDG_Country.csv:
  • Country Code: A unique code for the country.
  • Short Name: A concise name for the country.
  • Table Name: The name of the table the country entry belongs to.
  • Long Name: The full official name of the country.
  • Region: The geographic region to which the country belongs.
  • Income Group: The income classification of the country.
• MDG_Data.csv:
  • Country Name: The name of the country for which data is provided.
  • Country Code: The unique code for the country.
  • Indicator Name: The name of the specific indicator.
  • Indicator Code: A unique code for the indicator.
  • 1990 to 2016: Columns representing the indicator values for each year within this range.
• MDG_FootNote.csv:
  • CountryCode: Country code linked to the footnote.
  • SeriesCode: Series code linked to the footnote.
  • Year: The year to which the footnote applies.
  • DESCRIPTION: The descriptive text of the footnote.
  • Unnamed: 4: An unnamed column.
• MDG_Series-Time.csv:
  • SeriesCode: Code representing a specific series.
  • Year: The year of the series.
  • DESCRIPTION: Description of the series.
  • Unnamed: 3: An unnamed column.
• MDG_Series.csv:
  • Series Code: Code representing a specific data series.
  • Topic: The subject or category of the series.
  • Indicator Name: The name of the indicator.
  • Short definition: A brief definition of the indicator.
  • Long definition: A detailed definition of the indicator.
  • Unit of measure: The unit in which the indicator is measured.
  • Periodicity: The frequency of data collection for the indicator.

Distribution

Usage

• Identifying Trends and Patterns: Analysing progress of the Millennium Development Goals over time to identify areas of success and where more effort is needed.
• Evaluating Policy Impact: Assessing the effectiveness of policies and interventions aimed at achieving the MDGs by examining indicator changes.
• Comparative Analysis: Conducting comparisons across countries, regions, or income groups to identify successful strategies.
• Monitoring and Reporting: Tracking MDG progress and generating reports for stakeholders.
• Research and Academic Studies: Exploring correlations, causal relationships, and interdependencies among indicators within development studies.
• Evidence-Based Decision-Making: Providing data-driven insights to policymakers and development practitioners for informed strategy design.

Coverage

License

Who Can Use It

• Researchers: For in-depth studies on global development and MDG progress.
• Data Analysts: For extracting insights and identifying trends from development indicators.
• Policymakers: To inform strategic decisions and design effective interventions.
• Development Practitioners and Organisations: For monitoring progress, reporting, and supporting evidence-based work towards development goals.
• Academics and Students: For educational purposes, academic research, and contributing to development studies.

Dataset Name Suggestions

• Millennium Development Goals (MDGs) 1990 - 2014
• Global Development Indicators - MDGs
• World Bank MDG Dataset 1990-2014

Attributes