variables: 946989

This table contains all the variables of all the datasets we have at Our World In Data. Note that this includes only the information about the variables like name and default display settings, not the data itself.

This data as json

id name unit description createdAt updatedAt code coverage timespan datasetId sourceId shortUnit display columnOrder originalMetadata grapherConfigAdmin shortName catalogPath dimensions schemaVersion processingLevel processingLog titlePublic titleVariant attributionShort attribution descriptionShort descriptionFromProducer descriptionKey descriptionProcessing licenses license grapherConfigETL type sort dataChecksum metadataChecksum
946989 Homeless Data Scorecard     2024-07-08 16:14:06 2024-07-22 14:46:04     2001-2024 6610     
{
    "name": "Homeless Data Scorecard",
    "tolerance": 5,
    "numDecimalPlaces": 0
}
 0     total_homeless_data_scorecard grapher/igh/2024-07-05/better_data_homelessness/better_data_homelessness#total_homeless_data_scorecard   2 minor   Quality of homelessness data       The Homeless Data Scorecard is an 11-point scale that provides an assessment of the current state of a country’s enumeration and data practices on homelessness. Higher values indicate better data on homelessness. After gathering information related to countries’ homelessness enumeration and data practices, we evaluated countries according to our Homeless Data Scorecard (HDS). The HDS is an 11-point scale that provides a rough assessment of the current state of a country’s enumeration and data practices. Countries were given one point for each criterion satisfied under the five key categories discussed in the “Homeless Data Scorecard” section above - Methodology, Timeliness, Definition, Geographic Scope, and Disaggregation. The scale is unweighted. In other words, in awarding one point for disaggregation by gender and one point for enumerations occuring within the last four years, we are not implying that the satisfaction of one criterion is as important as the other. Furthermore, two countries being awarded a point for satisfying the same criteria should not be taken to imply that both countries have satisfied the criteria in the same way. For instance, whereas two countries may satisfy the criterion of “methodology listed,” one country may simply state that data was produced through a street count, while the other country may issue comprehensive reports detailing their data collection tactics and statistical methods used to arrive at their estimate. In cases where the relative lack of contextual information regarding how a country’s data was produced was insufficient to make a determination, countries were not scored according to the HDS. 
[
    "Countries are given one point for each criterion satisfied under five key categories: Methodology, Timeliness, Definition, Geographic Scope, and Disaggregation.",
    "These five categories are further broken down into 11 criteria, each of which is worth one point. Methodology comprises whether the methodology used to collect the homelessness data is listed by the source and whether the enumeration is from a primary data source. Timeliness includes whether the enumeration was conducted within the last four years and whether the enumeration was conducted at the same time of year or based on routinely updated data. Definition measures whether the definition of homelessness includes people without accommodation, living in emergency accommodation, and living in insecure or inadequate housing. Geographic Scope assesses whether the geographic scope of the data is listed by the source and dissagregation by region, city, or community. Disaggregation assesses whether the data is disaggregated by gender, age or two additional categories (disability status, income, race or ethnicity, migratory status, length of time homeless, and relevant health data).\"",
    "The scale is unweighted. In other words, the same score for two countries does not imply that both countries have satisfied the criteria in the same way."
]
         int 
[]
 ffe3e3a0890d5e9af8dbd6e9f48d71b7 76683ff7670ea3bfe2f507bdd868d0e2

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