3.3. Data Collection#
This page provides guidance on finding and collecting relevant data for the GEEST tool, using Saint Lucia as an example. The data sources, layers, indicators and the table structure shown here can serve as references when gathering data for other countries.
3.3.1. Data Sources for Saint Lucia#
| DIMENSION | FACTOR | LAYER | DATA SOURCE/QUERY |
|---|---|---|---|
| 📝CONTEXTUAL | 🏢Workplace Discrimination | WBL 2024 Workplace Index Score | WBL 2024 index score: 83.8 |
| ⚖️Regulatory Frameworks | WBL 2024 Pay+Parenthood Index Score | WBL 2024 index score: Pay 100 and Parenthood 40 | |
| 💵Financial Inclusion | WBL 2024 Entrepreneurship Index Score | WBL 2024 index score: Entrepreneurship 75 | |
| 🚶ACCESSIBILITY | 🚶♀️Women's Travel Patterns | 👶Location of kindergartens/childcare | Humdata or OSM |
| 🏫Location of primary schools | Humdata or OSM | ||
| 🛒Location of groceries | OSM | ||
| 💊Location of pharmacies | OSM | ||
| 🌳Location of green spaces | OSM | ||
| 🚌Access to Public Transport | Location of public transportation stops, including maritime | OSM | |
| 🏥Access to Health Facilities | Location of hospitals and clinics | Humdata or OSM | |
| 🎓Access to Education and Training Facilities | Location of universities and technical schools | Humdata or OSM | |
| 🏦Access to Financial Facilities | Location of Banks and other financial facilities | OSM | |
| 🌍PLACE CHARACTERIZATION | 🚴Active Transport | 🚸Location of street crossings | Mapillary or OSM |
| 🚴♀️Location of cycle paths | OSM | ||
| 👣Location of footpaths | OSM | ||
| 🏘️Block Layout | OSM | ||
| 🛡️Safety | Street lights/Nighttime lights | Mapillary or NTL | |
| ⚠️FCV | ACLED data | mail for ACLED data | |
| 📚Education | Percentage of the labor force comprising women with university degrees | WB data | |
| 💻Digital Inclusion | Individuals using the Internet (% of population) | WB data | |
| 🌋Environmental Hazards | Global Natural Hazards Data | Fires | Earthquakes | Tsunamis | Flood | Landslides | Tropical Cyclones | Drought | Air Pollution | |
| 💧Water Sanitation | Water points | Mapillary or OSM |
3.3.2. Potential Data Sources for Other Countries#
While the above table showcases data specific to Saint Lucia, similar data can be found for other countries through the following sources:
World Bank - Women, Business and the Law: Offers indices on workplace discrimination, regulatory frameworks, financial inclusion, and more, helping to track progress on women’s economic empowerment across countries.
United Nations Development Programme (UNDP): Provides metrics on gender equality, economic participation, and sustainable development, essential for evaluating contextual and place-based factors.
National Statistics Offices: Many countries publish gender-disaggregated data, which is crucial for contextual and accessibility insights in specific regions.
International Labour Organization (ILO): Collects data on labor force participation, wage disparities, and workplace regulations by country, supporting the analysis of gender gaps and regulatory environments.
OpenStreetMap (OSM): A valuable open-source platform providing geospatial data, including the locations of educational, healthcare, and financial facilities, as well as transport and green spaces. OSM data can help assess accessibility and environmental factors at a local level.
Humanitarian Data Exchange (Humdata): Maintained by the United Nations Office for the Coordination of Humanitarian Affairs (OCHA), Humdata offers open datasets on schools, health facilities, and other infrastructure, aiding in the geospatial analysis of services critical for accessibility assessments.
Global Natural Hazards Data: Provides data on environmental hazards, including earthquakes, floods, cyclones, landslides, fires and others across regions. This data is essential for assessing natural risks and planning in vulnerable areas.
Mapillary: A collaborative platform that offers street-level imagery contributed by users worldwide. Mapillary data includes vector data on street crossings, sidewalks, and public lighting, making it useful for place-based and accessibility assessments.
Instructions for Data Collection:
Query the Source: Use the query instructions provided in the table to filter and collect specific data.
Check Availability for Each Country: Not all indicators may be available for every country; adapt based on what is accessible.
Document Sources and Methods: Record each source, method, and any specific details relevant to your data collection process.