There are also micropolitan statistical areas ā the same thing, but for smaller population centers. Together, weād have to maintain 935 core-based statistical areas. These boundaries are by definition aligned with county boundaries and only change at most annually (and at least every five years).
CBSAs are only one tier of the OMBās geographies within the Census Bureauās standard model of geography. Theyāre often subdivisions of combined statistical areas and are often further subdivided into metropolitan divisions. Wikidata has extensive coverage of CBSAs and CSAs in terms of the counties they consist of. (Metropolitan divisions need a lot of work there.)
In past discussions, the consensus has been to avoid mapping these areas, because of slim benefit over simply enumerating the counties in a CBSA. (In fact, many MSAs and most μSAs consist of only one county). For example, one of my saved queries in Overpass turbo begins by enumerating the counties that form the CincinnatiāWilmington, OHāKYāIN Combined Statistical Area. Since my goal for this query is to track my mapping progress, I ignored the 2023 change that removed Mason County, Kentucky, from the CSA:
(
{{geocodeArea:Dearborn County, Indiana}};
{{geocodeArea:Franklin County, Indiana}};
{{geocodeArea:Ohio County, Indiana}};
{{geocodeArea:Union County, Indiana}};
{{geocodeArea:Boone County, Kentucky}};
{{geocodeArea:Bracken County, Kentucky}};
{{geocodeArea:Campbell County, Kentucky}};
{{geocodeArea:Gallatin County, Kentucky}};
{{geocodeArea:Grant County, Kentucky}};
{{geocodeArea:Kenton County, Kentucky}};
{{geocodeArea:Pendleton County, Kentucky}};
{{geocodeArea:Mason County, Kentucky}}; // Maysville, KY μSA detached in 2023
{{geocodeArea:Brown County, Ohio}};
{{geocodeArea:Clermont County, Ohio}};
{{geocodeArea:Hamilton County, Ohio, United States}};
{{geocodeArea:Warren County, Ohio}};
{{geocodeArea:Butler County, Ohio}};
{{geocodeArea:Clinton County, Ohio}};
);
Itās verbose boilerplate, but a small price to pay for some control over the precise definition and vintage. If I needed to query at a larger scale, letās say within all the MSAs in the country, Iād turn to a tool that can perform a crosswalk with Wikidata, which knows which counties are part of the Chicago metropolitan area (Q1754965). For example, Sophox and QLever can automatically query for cities in a metropolitan area based on Wikidata.
The loc_name=Chicagoland
on this boundary relation is misleading, placing too much emphasis on a statistical unit for a name that isnāt used in demography or economic statistics at all. My understanding is that Chicagoland refers to a broader area that reaches farther into Wisconsin and Illinois, but the extent depends on who you ask.
When laypeople want coverage of āmetropolitan areasā, they arenāt necessarily thinking of the MSA boundaries specifically. Any given metro area will have a number of other definitions, especially outside of government. Most local print and broadcast media outlets have their own proprietary definitions based on their own service areas. This is a general issue with mapping āmetropolitan areasā, and there are some far more problematic cases than Chicago, such as New York and San Francisco.
I think it would be worth understanding the motivation for adding this particular boundary: did a geocoder user complain about an unsuccessful query for Chicagoland or the Chicago metropolitan area per se? Did they need the full boundary or only an approximate point feature (which could be derived from the namesake city)? Did they expect systematic coverage beyond this one moniker?