20220704 13362500 1.0 TRUE Rural Municipality Boundaries boundaries Rural Municipality Municipality Special Area Special Areas Improvement District Improvement Districts ID IDs Specialized Municipality Specialized Municipalities Rural Municipal District District County MD MDs Counties Municipal Districts Districts This service contains groups of the Base Features Rural Municipality boundary types. This service contains groups of the Base Features Rural Municipality boundary types.The service contains the following groups of boundaries:1) Special Area Boundary2) Improvement District Boundary3) Specialized Municipality Boundary4) Municipal District and County BoundaryThis service is not visible beyond the scale of 1:27,733,946. Copyright Government of Alberta Data Use LimitationsTo access the data you must agree to the terms of the Open Government License - Alberta.Use of this information will be governed by the terms of the Open Government License - Alberta, in force as of the date you accessed the information, found at https://open.alberta.ca/licenseDistribution LiabilityUnder the terms of the Open Government License - Alberta, the Information is licensed as is, and the Information Provider excludes all representations, warranties, obligations, and liabilities, whether express or implied, to the maximum extent permitted by law. The Information Provider is not liable for any errors or omissions in the Information, and will not under any circumstances be liable for any direct, indirect, special, incidental, consequential, or other loss, injury or damage caused by its use or otherwise arising in connection with this license or the Information, even if specifically advised of the possibility of such loss, injury or damage. 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