[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"detail-sidebar-cat-0-en-105":3,"doc-seo-584123-105":59,"doc-detail-584123-en":130},{"code":4,"msg":5,"data":6},0,"success",[7,13,18,23,28,33,38,43,48,51,55],{"id":8,"doc_module":4,"doc_module_name":9,"category_name":10,"show_sort_weight":11,"slug":12},1,"Document","Story & Novel",90,"story-novel",{"id":14,"doc_module":4,"doc_module_name":9,"category_name":15,"show_sort_weight":16,"slug":17},2,"Literature",80,"literature",{"id":19,"doc_module":4,"doc_module_name":9,"category_name":20,"show_sort_weight":21,"slug":22},4,"Exam",70,"exam",{"id":24,"doc_module":4,"doc_module_name":9,"category_name":25,"show_sort_weight":26,"slug":27},5,"Comic",60,"comic",{"id":29,"doc_module":4,"doc_module_name":9,"category_name":30,"show_sort_weight":31,"slug":32},6,"Technology",50,"technology",{"id":34,"doc_module":4,"doc_module_name":9,"category_name":35,"show_sort_weight":36,"slug":37},7,"Healthcare",40,"healthcare",{"id":39,"doc_module":4,"doc_module_name":9,"category_name":40,"show_sort_weight":41,"slug":42},8,"Research & Report",30,"research-report",{"id":44,"doc_module":4,"doc_module_name":9,"category_name":45,"show_sort_weight":46,"slug":47},9,"Religion & Spirituality",20,"religion-spirituality",{"id":46,"doc_module":4,"doc_module_name":9,"category_name":49,"show_sort_weight":46,"slug":50},"World Cup","world-cup",{"id":52,"doc_module":4,"doc_module_name":9,"category_name":53,"show_sort_weight":52,"slug":54},10,"Lifestyle","lifestyle",{"id":56,"doc_module":4,"doc_module_name":9,"category_name":57,"show_sort_weight":24,"slug":58},19,"General","general",{"code":4,"msg":60,"data":61},"ok",{"site_id":62,"language":63,"slug":64,"title":65,"keywords":66,"description":67,"schema_data":68,"social_meta":123,"head_meta":125,"extra_data":127,"updated_unix":129},105,"en","state-implementation-guide-drivers-license-data","STATE IMPLEMENTATION GUIDE - Driver’s license data","","March 2025 brief explains how statewide longitudinal data systems (SLDSs) can use driver’s license data to securely connect individual-level records across early childhood, K–12, higher education, and the workforce. It describes what driver’s license data includes, which state agencies typically manage it, and why different identifier practices create matching gaps. The brief outlines benefits for improving match rates and data quality, and frames key questions about utility, risk, and safe use under relevant federal law.",{"@graph":69,"@context":122},[70,84,105],{"@type":71,"itemListElement":72},"BreadcrumbList",[73,77,79,82],{"item":74,"name":75,"@type":76,"position":8},"https://docshare.wps.com","Home","ListItem",{"item":78,"name":9,"@type":76,"position":14},"https://docshare.wps.com/document/",{"item":80,"name":40,"@type":76,"position":81},"https://docshare.wps.com/document/research-report/",3,{"item":83,"name":65,"@type":76,"position":19},"https://docshare.wps.com/document/state-implementation-guide-drivers-license-data/584123/",{"url":83,"name":65,"@type":85,"image":86,"author":91,"headline":65,"publisher":94,"fileFormat":97,"inLanguage":63,"description":67,"dateModified":98,"datePublished":99,"encodingFormat":97,"isAccessibleForFree":100,"interactionStatistic":101},"DigitalDocument",{"url":87,"@type":88,"width":89,"height":90},"https://docshare.wps.com/thumbnails/state-implementation-guide-drivers-license-data/584123.png","ImageObject",300,407,{"name":92,"@type":93},"Kyle","Person",{"url":74,"name":95,"@type":96},"DocShare","Organization","application/pdf","2026-11-12","2026-10-15",true,{"@type":102,"interactionType":103,"userInteractionCount":24},"InteractionCounter",{"@type":104},"ViewAction",{"@type":106,"mainEntity":107},"FAQPage",[108,114,118],{"name":109,"@type":110,"acceptedAnswer":111},"What is driver’s license data in the SLDS context?","Question",{"text":112,"@type":113},"Driver’s license data is typically collected and managed by a state’s motor vehicles or transportation department and includes identifiers and demographic elements such as full name, DOB, sex or gender, race/ethnicity, address, license details, veteran status, SSN, and last updated date.","Answer",{"name":115,"@type":110,"acceptedAnswer":116},"Why do states consider adding driver’s license data to SLDS matching?",{"text":117,"@type":113},"Because different agencies use different personal identifiers and K–12 and higher education datasets often lack SSNs used in wage records. Adding driver’s license data helps fill gaps and improve the linkage between education and workforce outcomes.",{"name":119,"@type":110,"acceptedAnswer":120},"How does driver’s license data improve the accuracy of education and workforce information?",{"text":121,"@type":113},"It enables states to resolve inconsistent data, improve matching and overall data quality, and provide more accurate, up-to-date education-to-workforce information that can support dashboards and reports.","https://schema.org",{"og:url":83,"og:type":124,"og:title":65,"og:site_name":95,"og:description":67},"article",{"robots":126,"canonical":83},"index,follow",{"doc_id":128,"site_id":62},584123,1792209226,{"code":4,"msg":5,"data":131},{"doc_id":128,"user_id":132,"nickname":92,"user_avatar":133,"doc_module":4,"category_id":39,"category_name":40,"doc_title":65,"doc_description":67,"doc_content":134,"file_id":135,"file_url":136,"file_type":137,"file_size":138,"view_count":24,"is_deleted":4,"is_public":8,"is_downloadable":8,"audit_status":8,"page_count":29,"language":139,"language_code":63,"site_id":62,"html_lang":63,"table_of_contents":140,"faqs":141,"seo_title":142,"seo_description":67,"update_tm":143,"read_time":144,"preview_page_count":4},3985741905716,"https://ap-avatar.wpscdn.com/davatar_994ba38a5ba835b3df7d355c54d3ed8d","MARCH 2025  \nDriver’s License Data Can Help States Better Understand Education and Workforce Pathways  \nStatewide longitudinal data systems (SLDSs) often rely on personal identifiers to securely  \nlink individual-level data over time across early childhood, K–12, higher education, and the workforce. However, different sectors use different types of personal identifiers—specific data elements such as full name, date of birth (DOB), and social security number (SSN)—which can make accurately connecting records difficult. Driver’s license data offers a single verifiable record that can be used to fill gaps in other records and accurately connect data across sectors. Depending on the sector providing the data, names, DOBs, and SSNs are not always verified and are sometimes missing entirely, making understanding the pathways between education and the workforce and the outcomes of those pathways challenging. Policymakers need to connect education and wage data to see the outcomes for students graduating from their K–12 schools and public institutions of higher education and accurately assess whether students are being properly prepared to succeed in the state’s  \nlabor market.  \nThe addition of driver’s license data has enabled SLDSs to provide more accurate information about the education and workforce experiencesand pathways of individuals, enabling students and workers to make more informed decisions.  \nThis brief is intended to help state leaders understand the utility and risk of including driver’s license data in their SLDS matching process. It answers the following questions:  \n• What is driver’s license data, and who is responsible for it?  \n• Why incorporate driver’s license data into your state’s SLDS?  \n• How can driver’s license data improve the accuracy of information?  \n• Which states are already working to enhance SLDS matching with driver’s license data?  \n• Which federal law affects the sharing of driver’s license data?  \n• How does a state safely use driver’s license data to enhance its SLDS matching process?  \nThe brief also includes considerations for state leaders as they pursue this work.  \nSTATE I M P L EM E NTATION GUIDE  \nWhat is driver’s license data, and who is responsible for it?  \nDriver’s license data is often collected and managed by a state’s motor vehicles department, transportation department, or similar agency. The data collected generally includes elements such as:  \n• Full name (including first name, middle name, lastname, generational suffix, and any additional “also known as” names);  \n• DOB;  \n• Sex or gender;  \n• Race and/or ethnicity;  \n• Residence address (including city, state, and zip code or county of residence);  \n• Mailing address  \n(including city, state, and zip code);  \n• License number, license status, and license renewal date;  \n• Voluntary veteran’s status;  \n• SSN; and  \n• Date the record was last updated.  \nWhy incorporate driver’s license data into your state’s SLDS?  \nStates develop SLDSs to link data from multiple agencies from early childhood to the workforce. However, incorporating and linking different data sets can lead to gaps in the data due to different collection practices, data elements, or reporting requirements. For example, agencies may use different classifications for race, or one agency may collect information on gender or location while another does not. Without a common personal identifier, properly matching records across sectors can be difficult. This challenge is especially relevant to SLDSs because K–12 and higher education data sets typically lack the personal identifier used in wage data, which is SSNs. With better-matched data across the education and workforce spectrum, state leaders can provide higher-quality education-to-workforce information and trend data that empower individuals to make informed decisions and select education and training opportunities that meet their educational, financial, and geographic needs.  \nDriver’s license data can be us","cbCaikBjT4SREFP6","https://ap.wps.com/l/cbCaikBjT4SREFP6","pdf",1037868,"English","# What is driver’s license data, and who is responsible for it?\n## Elements included in driver’s license data\n# Why incorporate driver’s license data into your state’s SLDS?\n## Addressing identifier gaps across agencies\n## Improving match rates and representation\n## Enhancing demographic information in wage data\n# How can driver’s license data improve the accuracy of information?\n## Resolving inconsistent data and improving data quality","[{\"question\":\"What is driver’s license data in the SLDS context?\",\"answer\":\"Driver’s license data is typically collected and managed by a state’s motor vehicles or transportation department and includes identifiers and demographic elements such as full name, DOB, sex or gender, race/ethnicity, address, license details, veteran status, SSN, and last updated date.\"},{\"question\":\"Why do states consider adding driver’s license data to SLDS matching?\",\"answer\":\"Because different agencies use different personal identifiers and K–12 and higher education datasets often lack SSNs used in wage records. Adding driver’s license data helps fill gaps and improve the linkage between education and workforce outcomes.\"},{\"question\":\"How does driver’s license data improve the accuracy of education and workforce information?\",\"answer\":\"It enables states to resolve inconsistent data, improve matching and overall data quality, and provide more accurate, up-to-date education-to-workforce information that can support dashboards and reports.\"}]","STATE IMPLEMENTATION GUIDE - Driver’s license data | PDF",1792049882,15]