Factor: Education - percentage of the labor force comprising women with university degrees in specified fields

[timlinux]

Source: Central Statistics Office/Humdata

Reclassify the input data to a standardized scale from 0 to 5 using a linear scaling process. On this scale, a score of 5 represents areas where all women have a university (STEM) degree, while a score of 0 represents areas where no women have a university degree. Users should have the option to upload disaggregated data at various administrative levels or at the country level.

[carolinamayh]

This factor was originally part of the Individual Dimension. Since this dimension has been removed, it should now be included in the Place-Characterization Dimension. @osundwajeff

[ClaraIV]

@osundwajeff if users only have a score at the country level, similar to the Contextual factors, they should be able to input the number directly. The tool will then standardize this score on a scale from 0 to 5 and assign it to the entire territory.

[dragosgontariu]

missing: there is no user input field for education level as per specifications; see screenshot below and the one for digital inclusion for example

@osundwajeff @javaftw

[javaftw]

@dragosgontariu Hi Dragos, could you please either provide the input data, or direct me to where to find it, for testing Factor:Education

[dragosgontariu]

Hi @javaftw

You can find it at: https://data.worldbank.org/indicator/SL.TLF.ADVN.FE.ZS?locations=LC

For St.Lucia the value is 80 in 2022 as per the data found there.

[javaftw]

Input: User Value

[mvmaltitz]

Results: Admin boundary - Education level value = 50%

Smaller boundaries

@dragosgontariu

[dragosgontariu]

@osundwajeff @mvmaltitz @javaftw the input value of 80 resulted into 0 score:

[mvmaltitz]

@dragosgontariu This has been fixes