The high school graduation rate of Fayette County, IA was 89.80% in 2016. The high school graduation rate of Martin County, MN was 90.10% in 2016.
Education and Graduation Rates Datasets Involving Martin County, MN or Fayette County, IA
- API brigades.opendatanetwork.com | Last Updated 2015-09-26T16:56:06.000Z
4, 5, and 6 year graduation roll up summaries, per county, broken down by demographics. More detailed information on the calculation can be found in the functional description on the MDE website under the Data Center (http://w20.education.state.mn.us/MDEAnalytics/Data.jsp). Select ‘Student’ and then use the ‘Category’ dropdown box and select ‘Graduation Rate’ and then click on ‘List files’. On the most recent year, select the help file with the mouse-over display of Minnesota Graduation Rates – Functional Requirements.
- API data.iowa.gov | Last Updated 2018-03-26T15:45:34.000Z
This dataset contains a directory of both public and nonpublic school buildings for the current school year. Mailing addresses, phone and fax numbers, physical location, grades at school, and school administrator names and titles can be found in the dataset.
- API data.pa.gov | Last Updated 2018-10-29T17:58:22.000Z
Attainment data is a 3-year average estimate of the adult, working age population (age 25-64) by age group, gender, and race/ethnicity. Data is based on Public Use Microsample (PUMS) data from the American Community Survey (ACS) downloaded in a custom data set from the IPUMS USA project at the University of Minnesota and summarized for Pennsylvania. Note that the estimates in this data set represent a 3-year average and is not directly comparable to the county-level 5-year county level estimates.
- API data.iowa.gov | Last Updated 2018-10-26T22:00:36.000Z
This dataset contains is a list of Iowa features contained in the Geographic Names Information System (GNIS). The GNIS is the Federal standard for geographic nomenclature. The U.S. Geological Survey developed the GNIS for the U.S. Board on Geographic Names, a Federal inter-agency body chartered by public law to maintain uniform feature name usage throughout the Government and to promulgate standard names to the public. The GNIS is the official repository of domestic geographic names data; the official vehicle for geographic names use by all departments of the Federal Government; and the source for applying geographic names to Federal electronic and printed products of all types. See http://geonames.usgs.gov for additional information. The Geographic Names Information System contains information about physical and cultural geographic features of all types, current and historical, but not including roads and highways. The database assigns a unique, permanent feature identifier, the Feature ID, as a standard Federal key for accessing, integrating, or reconciling feature data from multiple data sets. The GNIS collects data from a broad program of partnerships with Federal, State, and local government agencies and other authorized contributors.
- API data.iowa.gov | Last Updated 2018-03-28T15:08:11.000Z
The dataset provides consolidated property tax rates for each urban and rural taxing district in Iowa by fiscal year, starting with FY 2002. Property tax rates are the dollars collected per $1,000 in a property's taxable value. The consolidated rate represents the combined rate for all levy authorities (e.g. counties, cities, school districts, townships, etc.) represented in a tax district.
- API data.iowa.gov | Last Updated 2018-08-24T19:04:14.000Z
This dataset contains 100% assessed property values for classes of real property in Iowa beginning with assessment year 2000. Real property is mostly land, buildings, structures, and other improvements that are constructed on or in the land, attached to the land, or placed upon a foundation. Typical improvements include a building, house or mobile home, fences, and paving. Classes of real property include the following: Residential, Agricultural Land, Agricultural Buildings, Commercial, Industrial, Utilities, and Railroads. The assessed property values help determine the net taxable valuations for property tax levies (e.g. 2012 assessment property values help determine the net taxable valuations for FY 2014 property tax levies).
- API data.iowa.gov | Last Updated 2018-03-28T17:53:40.000Z
This dataset contains taxable property values for classes of real property in Iowa by tax district. Taxable values are based on assessed valuations after application of the statutory assessment limitation (i.e. rollback), and is the value to which tax rates are applied (e.g. 2012 net taxable valuations are used for the FY 2014 property tax levies). Real property is mostly land, buildings, structures, and other improvements that are constructed on or in the land, attached to the land, or placed upon a foundation. Typical improvements include a building, house or mobile home, fences, and paving. Classes of real property include the following: Residential, Agricultural Land, Agricultural Buildings, Commercial, Industrial, Utilities and Railroads.
- API data.iowa.gov | Last Updated 2018-03-28T16:18:06.000Z
This dataset contains property tax rates for all levy authorities within the State of Iowa by fiscal year. Property tax rates are the dollars collected per $1,000 in a property's taxable value. The state fiscal year runs from July 1 to the following June 30 and is numbered for the calendar year in which it ends. Rates for a fiscal year are based on the taxable property valuations for the preceding calendar year (e.g. FY 2014 rates are based on 2012 taxable property valuations).
- API brigades.opendatanetwork.com | Last Updated 2014-07-15T17:57:24.000Z
This dataset contains polling place locations and their corresponding address ranges. The next upcoming election for each polling place is listed in the cases where it has already been set up in the system. The data was pulled from The Office of the Secretary of State's online pollfinder database on 2/14/2014.
- API data.iowa.gov | Last Updated 2018-03-26T15:54:59.000Z
Public school district drop out rates for SY 2015 by race and gender