diff --git a/README.html b/README.html index de9d6ffa..ddb3a391 100644 --- a/README.html +++ b/README.html @@ -15,19 +15,19 @@ - - - + + + - - - - + + + + @@ -35,12 +35,12 @@ - + - - - + + + @@ -67,7 +67,7 @@ - + @@ -75,27 +75,23 @@ - Skip to main content +
+ Back to top - + id="pst-primary-sidebar-checkbox"/> + - + id="pst-secondary-sidebar-checkbox"/> + + + + -Countries included in the project:
-AFRICA |
LATIN AMERICA AND CARIBBEAN |
@@ -523,6 +526,7 @@
---|
Project Components
The project is divided into six main components:
@@ -540,7 +544,7 @@This effort resulted in a Data Gap Analysis Report for each of the 31 SIDS included in the project. The report for each country provides a comprehensive overview of the findings derived from an extensive data gap analysis, specifically centered on women in SIDS and their access (or lack thereof) to employment opportunities within the RE sector. This endeavor entailed thorough desk-based research, necessitating a detailed exploration of both spatial and non-spatial data sources that are publicly available. The focus was on identifying critical open sources, evaluating the resolution and quality of the data, and specifying any pertinent gaps or missing information in each country. The reports are available here: https://datacatalog.worldbank.org/search/collections/genderspatial
-Reference Data |
---|
The following figure summarizes the data availability concerning the 59 datasets examined for each country:
The GEEST generates raw score outputs for 21 of the 23 factors outlined in the Analytical Framework. The factors (i) Water and Sanitation and (ii) Fragility, Conflict, and Violence are absent due to lack of data availability. Each of the 21 factors, dimensions, and overall aggregate scores are assessed on a scale ranging from 0 to 5.
The interpretation of these scores is thoroughly detailed in the Methodology Report: https://documents.worldbank.org/en/publication/documents-reports/documentdetail/099121123091527675/p1792120dc820d04409928040a279022b42. Higher scores signify a more conducive environment for women to access job opportunities. Conversely, scores of 0 indicate a lack of supportive conditions for women to access employment opportunities. To enhance comprehension, the methodology further categorizes these scores into distinct ‘classes,’ offering a simplified approach to their interpretation, as shown in the following table:
-To access the User Manual for GEEST and the necessary installation files for QGIS, please visit the User Guide or the GitHub repository.